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Neuroscience has focused on the detailed implementation of computation, studying neural codes, dynamics and circuits.
Neural encoding of relative position
Kenneth J Hayworth, Mark D Lescroart, and Irving Biederman · 1939
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Mathematical biophysics: physico-mathematical foundations of biology
Nicolas Rashevsky · 1939
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Conditional routing of information to the cortex: a model of the basal ganglia’s role in cognitive coordination
Andrea Stocco, Christian Lebiere, and John R Anderson · 1939
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Spike-timing dependent plasticity
Jesper Sjöström and Wulfram Gerstner · 1941
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Genetic control of wiring specificity in the fly olfactory system
Weizhe Hong and Liqun Luo · 1943
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A logical calculus of the ideas immanent in nervous activity
Warren S. McCulloch and Walter Pitts · 1943
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Homeostatic synaptic plasticity: local and global mechanisms for stabilizing neuronal function
Gina Turrigiano · 1943
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The magical number seven, plus or minus two: some limits on our capacity for processing information
George A. Miller · 1956
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What the Frog’s Eye Tells the Frog’s Brain
J. Lettvin, H. Maturana, W. McCulloch, and W. Pitts · 1959
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Behavior and natural selection
N Tinbergen · 1965
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Migratory orientation in the indigo bunting, passerina cyanea: part i: evidence for use of celestial cues
Stephen T Emlen · 1967
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Operant conditioning of cortical unit activity
Eberhard E Fetz · 1969
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A theory of cerebellar cortex
D Marr · 1969
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Perceptrons: An Introduction to Computational Geometry
Marvin Lee Minsky and Seymour Papert · 1972
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Beyond regression: New tools for prediction and analysis in the behavioral sciences
Paul Werbos · 1974
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Plain talk about neurodevelopmental epistemology
M Minsky · 1977
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Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
Kunihiko Fukushima · 1980
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The need for biases in learning generalizations
Tom M Mitchell · 1980
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Neural networks and physical systems with emergent collective computational abilities
J J Hopfield · 1982
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Applications of advances in nonlinear sensitivity analysis
PJ Werbos · 1982
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Neurons with graded response have collective computational properties like those of two-state neurons
J J Hopfield · 1984
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A learning algorithm for Boltzmann machines
DH Ackley, GE Hinton, and TJ Sejnowski · 1985
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Morphological evidence for a dopaminergic terminal field in the hippocampal formation of young and adult rat
C Verney, M Baulac, B Berger, C Alvarez, A Vigny, and KB Helle · 1985
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Parallel distributed processing, vol. 1
James L McClelland, David E Rumelhart, et al · 1986
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Learning representations by back-propagating errors
David E. Rumelhart, Geoffrey E. Hinton, and Ronald J. Williams · 1986
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Shifter circuits: a computational strategy for dynamic aspects of visual processing
Charles H Anderson and David C Van Essen · 1987
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Differential modulation of three separate k-conductances in hippocampal ca1 neurons by serotonin
A Colino and JV Halliwell · 1987
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Learning representations by recirculation
GE Hinton and JL McClelland · 1988
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Society Of Mind
Marvin Minsky · 1988
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A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons
D Zipser and RA Andersen · 1988
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A parallel algorithm for real-time computation of optical flow
H Biilthoff, J Little, and T Poggio · 1989
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The recent excitement about neural networks
F Crick · 1989
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Connectionist learning procedures
GE Hinton · 1989
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Ocular dominance column development: analysis and simulation
K. Miller, J. Keller, and M. Stryker · 1989
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Is backpropagation biologically plausible?
D. G. Stork · 1989
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Chunking as a mechanism of implicit learning
E Servan-Schreiber and JR Anderson · 1990
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Backpropagation through time: what it does and how to do it
PJ Werbos · 1990
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Anatomy of the cortex: studies of brain function, 1991
V Braitenberg and A Schutz · 1991
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Distributed hierarchical processing in the primate cerebral cortex
Daniel J Felleman and David C Van Essen · 1991
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Learning Invariance from Transformation Sequences, mar 2008
Peter Földiák · 1991
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Logical Versus Analogical or Symbolic Versus Connectionist or Neat Versus Scruffy, jun 1991
Marvin L. Minsky · 1991
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Self-organizing neural network that discovers surfaces in random-dot stereograms
Suzanna Becker and Geoffrey E Hinton · 1992
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The clusteron: toward a simple abstraction for a complex neuron
BW Mel · 1992
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Implications of neural networks for how we think about brain function
DA Robinson · 1992
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J. Williams · 1992
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A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information
B A Olshausen, C H Anderson, and D C Van Essen · 1993
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The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs
WR Softky and C Koch · 1993
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Tight performance bounds on greedy policies based on imperfect value functions
Ronald J Williams and Leemon C Baird · 1993
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Neural networks: a comprehensive foundation
Simon S. Haykin · 1994
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The Role of Constraints in Hebbian Learning
Kenneth D. Miller and David J. C. MacKay · 1994
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Temporal information transformed into a spatial code by a neural network with realistic properties
D V Buonomano and M M Merzenich · 1995
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The” wake-sleep” algorithm for unsupervised neural networks
GE Hinton, P Dayan, BJ Frey, and RM Neal · 1995
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Convolutional networks for images, speech, and time series
Yann LeCun and Yoshua Bengio · 1995
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Holographic reduced representations
T A Plate · 1995
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Temporal difference learning and TD-Gammon
G Tesauro · 1995
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Functional significance of long-term potentiation for sequence learning and prediction
LF Abbott and KI Blum · 1996
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Nitric oxide acts directly in the presynaptic neuron to produce long-term potentiation in cultured hippocampal neurons
O Arancio, M Kiebler, C J Lee, V Lev-Ram, R Y Tsien, E R Kandel, and R D Hawkins · 1996
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Cortical integration: Possible solutions to the binding and linking problems in perception, reasoning and long term memory
Nick Bostrom · 1996
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Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Bruno A. Olshausen and David J. Field · 1996
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Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm
Randall C. O’Reilly · 1996
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Buffer loading and chunking in sequential keypressing
Willem B Verwey · 1996
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Free recall and recognition in a network model of the hippocampus: simulating effects of scopolamine on human memory function
Michael E Hasselmo and Bradley P Wyble · 1997
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Long short-term memory
S Hochreiter and J Schmidhuber · 1997
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The fusiform face area: a module in human extrastriate cortex specialized for face perception
Nancy Kanwisher, Josh McDermott, and Marvin M Chun · 1997
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Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs
H Markram, J Lübke, M Frotscher, and B Sakmann · 1997
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Sparse coding with an overcomplete basis set: A strategy employed by V1?
Bruno A. Olshausen and David J. Field · 1997
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Combining probabilistic population codes
Richard S Zemel and Peter Dayan · 1997
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Episodic-like memory during cache recovery by scrub jays
Nicola S Clayton and Anthony Dickinson · 1998
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The basal ganglia and chunking of action repertoires
Ann M Graybiel · 1998
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Signal-dependent noise determines motor planning
Christopher M Harris and Daniel M Wolpert · 1998
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Continuous attractors and oculomotor control
H. Sebastian Seung · 1998
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 1998
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What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?
Kenji Doya · 1999
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How the mind works
S Pinker · 1999
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The Role of Neural Mechanisms of Attention in Solving the Binding Problem
John H. Reynolds and Robert Desimone · 1999
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Models of Hippocampally Dependent Navigation, Using The Temporal Difference Learning Rule
D. J. Foster, R. G. M. Morris, Peter Dayan, and Centre For Neuroscience · 2000
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The scientist in the crib: What early learning tells us about the mind
Alison Gopnik, Andrew N Meltzoff, and Patricia K Kuhl · 2000
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A learning rule for dynamic recruitment and decorrelation
K.P Körding and P König · 2000
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Learning Overcomplete Representations
Michael S. Lewicki and Terrence J. Sejnowski · 2000
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Algorithms for inverse reinforcement learning
AY Ng and SJ Russell · 2000
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Backpropagation of physiological spike trains in neocortical pyramidal neurons: implications for temporal coding in dendrites
S R Williams and G J Stuart · 2000
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Spike-based learning rules and stabilization of persistent neural activity
X Xie and HS Seung · 2000
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A computational model of action selection in the basal ganglia. I. A new functional anatomy
K Gurney, T J Prescott, and P Redgrave · 2001
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Intrinsic stabilization of output rates by spike-based Hebbian learning
R Kempter, W Gerstner, and J L van Hemmen · 2001
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Supervised and unsupervised learning with two sites of synaptic integration
KP Körding and P König · 2001
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The Algebraic Mind: Integrating Connectionism and Cognitive Science
Gary Marcus · 2001
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Endogenous cannabinoids mediate retrograde signalling at hippocampal synapses
R I Wilson and R A Nicoll · 2001
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Thinking about the brain
W Bialek · 2002
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Understanding stimulus poverty arguments
Janet Dean Fodor and Carrie Crowther · 2002
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Real-time computing without stable states: a new framework for neural computation based on perturbations
Wolfgang Maass, Thomas Natschläger, and Henry Markram · 2002
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Cosine tuning minimizes motor errors
Emanuel Todorov · 2002
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Optimal feedback control as a theory of motor coordination
Emanuel Todorov and Michael I Jordan · 2002
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Slow feature analysis: unsupervised learning of invariances
Laurenz Wiskott and Terrence J Sejnowski · 2002
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Neural Mechanisms of Orientation Selectivity in the Visual Cortex
David Ferster and Kenneth D. Miller · 2003
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Robust persistent neural activity in a model integrator with multiple hysteretic dendrites per neuron
Mark S Goldman, Joseph H Levine, Guy Major, David W Tank, and HS Seung · 2003
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How are complex cell properties adapted to the statistics of natural stimuli?
Konrad P Körding, Christoph Kayser, Wolfgang Einhäuser, and Peter König · 2003
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Hierarchical Bayesian inference in the visual cortex
Tai Sing Lee and David Mumford · 2003
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The visual word form area: expertise for reading in the fusiform gyrus
Bruce D McCandliss, Laurent Cohen, and Stanislas Dehaene · 2003
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Doubly distributional population codes: simultaneous representation of uncertainty and multiplicity
Maneesh Sahani and Peter Dayan · 2003
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Learning in Spiking Neural Networks by Reinforcement of Stochastic Synaptic Transmission
H. Sebastian Seung · 2003
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Equivalence of backpropagation and contrastive Hebbian learning in a layered network
Xiaohui Xie and H Sebastian Seung · 2003
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Feedforward, feedback and inhibitory connections in primate visual cortex
EM Callaway · 2004
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Neuronal circuits of the neocortex
Rodney J Douglas and Kevan A C Martin · 2004
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Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems
Chris Eliasmith and Charles H. Anderson · 2004
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Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication
Herbert Jaeger and Harald Haas · 2004
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A normative model of attention: Receptive field modulation
Santiago Jaramillo and Barak A Pearlmutter · 2004
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The Bayesian brain: the role of uncertainty in neural coding and computation
DC Knill and A Pouget · 2004
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The birth of the mind: How a tiny number of genes creates the complexities of human thought
Gary Marcus · 2004
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What is the other 85% of v1 doing
Bruno A Olshausen and David J Field · 2004
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Bayesian computation in recurrent neural circuits
Rajesh PN Rao · 2004
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Handbook of learning and approximate dynamic programming , volume 2
Jennie Si · 2004
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Memory systems of the brain: a brief history and current perspective
Larry R Squire · 2004
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What is the function of the claustrum?
Francis C Crick and Christof Koch · 2005
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A computational model of the cerebral cortex
T Dean · 2005
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Mechanisms for selection of basic motor programs–roles for the striatum and pallidum
Sten Grillner, Jeanette Hellgren, Ariane Ménard, Kazuya Saitoh, and Martin A Wikström · 2005
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The neocortical microcircuit as a tabula rasa
Nir Kalisman, Gilad Silberberg, and Henry Markram · 2005
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Different time courses of learning-related activity in the prefrontal cortex and striatum
Anitha Pasupathy and Earl K Miller · 2005
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Attention-gated reinforcement learning of internal representations for classification
Pieter R Roelfsema and Arjen van Ooyen · 2005
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Thalamic relays and cortical functioning
S Murray Sherman · 2005
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Learning curves for stochastic gradient descent in linear feedforward networks
Justin Werfel, Xiaohui Xie, and H Sebastian Seung · 2005
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The cortex as a central pattern generator
Rafael Yuste, Jason N MacLean, Jeffrey Smith, and Anders Lansner · 2005
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Efficient representation as a design principle for neural coding and computation
William Bialek, Rob De Ruyter Van Steveninck, and Naftali Tishby · 2006
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Actions, policies, values and the basal ganglia
Nathaniel D Daw, Yael Niv, and Peter Dayan · 2006
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Gradient learning in spiking neural networks by dynamic perturbation of conductances
Ila R Fiete and H Sebastian Seung · 2006
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Model of birdsong learning based on gradient estimation by dynamic perturbation of neural conductances
Ila R Fiete, Michale S Fee, and H Sebastian Seung · 2006
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The role of acetylcholine in learning and memory
Michael E Hasselmo · 2006
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A fast learning algorithm for deep belief nets
Geoffrey E Hinton, Simon Osindero, and Yee-Whye Teh · 2006
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Broca’s area and the hierarchical organization of human behavior
Etienne Koechlin and Thomas Jubault · 2006
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Bayesian inference with probabilistic population codes
Wei Ji Ma, Jeffrey M Beck, Peter E Latham, and Alexandre Pouget · 2006
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Variability, compensation and homeostasis in neuron and network function
Eve Marder and Jean-Marc Goaillard · 2006
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A cerebellar model for predictive motor control tested in a brain-based device
Jeffrey L McKinstry, Gerald M Edelman, and Jeffrey L Krichmar · 2006
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Activity in the lateral prefrontal cortex reflects multiple steps of future events in action plans
Hajime Mushiake, Naohiro Saito, Kazuhiro Sakamoto, Yasuto Itoyama, and Jun Tanji · 2006
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Biologically based computational models of high-level cognition
Randall C O’Reilly · 2006
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Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia
Randall C O’Reilly and Michael J Frank · 2006
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Triplets of spikes in a model of spike timing-dependent plasticity
Jean-Pascal Pfister and Wulfram Gerstner · 2006
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Higher-dimensional neurons explain the tuning and dynamics of working memory cells
Ray Singh and Chris Eliasmith · 2006
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A model of the ventral visual system based on temporal stability and local memory
Reto Wyss, Peter König, and Paul F M J Verschure · 2006
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How Can the Human Mind Occur in the Physical Universe?
John R Anderson · 2007
Multifaceted aspects of chunking enable robust algorithms
Daniel E Acuna, Nicholas F Wymbs, Chelsea A Reynolds, Nathalie Picard, Robert S Turner, Peter L Strick, Scott T Grafton, and Konrad P Kording · 2014
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Do deep nets really need to be deep?
J Ba and R Caruana · 2014
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Neural mechanisms of object-based attention
Daniel Baldauf and Robert Desimone · 2014
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Cortical prediction markets
D Balduzzi · 2014
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Kickback cuts Backprop’s red-tape: Biologically plausible credit assignment in neural networks
David Balduzzi, Hastagiri Vanchinathan, and Joachim Buhmann · 2014
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How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation
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A neurobiological theory of automaticity in perceptual categorization
F Gregory Ashby, John M Ennis, and Brian J Spiering · 2007
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An echo state model of non-markovian reinforcement learning
Keith A Bush · 2007
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A role for synaptic inputs at distal dendrites: instructive signals for hippocampal long-term plasticity
Joshua T Dudman, David Tsay, and Steven A Siegelbaum · 2007
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Volitional control of neural activity: implications for brain–computer interfaces
Eberhard E Fetz · 2007
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Slowness and sparseness lead to place, head-direction, and spatial-view cells
Mathias Franzius, Henning Sprekeler, and Laurenz Wiskott · 2007
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Free-energy and the brain
KJ Friston and KE Stephan · 2007
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Yoshua Bengio · 2014
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Learning Deep Structured Models
Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, and Raquel Urtasun · 2014
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Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
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Neural networks and neuroscience-inspired computer vision
David Daniel Cox and Thomas Dean · 2014
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When Computer Vision Gazes at Cognition
Tao Gao, Daniel Harari, Joshua Tenenbaum, and Shimon Ullman · 2014
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Time representation in reinforcement learning models of the basal ganglia
Samuel J Gershman, Ahmed A Moustafa, and Elliot A Ludvig · 2014
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Evidence for a causal inverse model in an avian cortico-basal ganglia circuit
Nicolas Giret, Joergen Kornfeld, Surya Ganguli, and Richard H R Hahnloser · 2014
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How might the brain represent complex symbolic knowledge?
B Goertzel · 2014
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Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
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Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learning
Gregor M Hoerzer, Robert Legenstein, and Wolfgang Maass · 2014
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Memory trace and timing mechanism localized to cerebellar Purkinje cells
Fredrik Johansson, Dan-Anders Jirenhed, Anders Rasmussen, Riccardo Zucca, and Germund Hesslow · 2014
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STDP installs in Winner-Take-All circuits an online approximation to hidden Markov model learning
David Kappel, Bernhard Nessler, and Wolfgang Maass · 2014
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Between the primate and ’reptilian’ brain: Rodent models demonstrate the role of corticostriatal circuits in decision making
A M Lee, L-H Tai, A Zador, and L Wilbrecht · 2014
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The Neural Marketplace: I. General Formalismand Linear Theory
S. N. Lewis and K. D. Harris · 2014
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Random feedback weights support learning in deep neural networks
Timothy P. Lillicrap, Daniel Cownden, Douglas B. Tweed, and Colin J. Akerman · 2014
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Designing tools for assumption-proof brain mapping
Adam H Marblestone and Edward S Boyden · 2014
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Recurrent models of visual attention
Volodymyr Mnih, Nicolas Heess, Alex Graves, et al · 2014
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Generalized role for the cerebellum in encoding internal models: evidence from semantic processing
Torgeir Moberget, Eva Hilland Gullesen, Stein Andersson, Richard B Ivry, and Tor Endestad · 2014
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Learning and transferring mid-level image representations using convolutional neural networks
Maxime Oquab, Leon Bottou, Ivan Laptev, and Josef Sivic · 2014
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NMDA spikes enhance action potential generation during sensory input
Lucy M Palmer, Adam S Shai, James E Reeve, Harry L Anderson, Ole Paulsen, and Matthew E Larkum · 2014
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Fitnets: Hints for thin deep nets
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio · 2014
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Neural constraints on learning
Patrick T Sadtler, Kristin M Quick, Matthew D Golub, Steven M Chase, Stephen I Ryu, Elizabeth C Tyler-Kabara, Byron M Yu, and Aaron P Batista · 2014
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Prospective Optimization
TJ Sejnowski and H Poizner · 2014
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Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Design Principles of the Hippocampal Cognitive Map
KL Stachenfeld · 2014
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Training convolutional networks with noisy labels
Sainbayar Sukhbaatar, Joan Bruna, Manohar Paluri, Lubomir Bourdev, and Rob Fergus · 2014
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Neural circuits as computational dynamical systems
D Sussillo · 2014
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Covert rapid action-memory simulation (CRAMS): a hypothesis of hippocampal-prefrontal interactions for adaptive behavior
Jane X Wang, Neal J Cohen, and Joel L Voss · 2014
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Semantic Part Segmentation using Compositional Model combining Shape and Appearance
Jianyu Wang and Alan Yuille · 2014
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Hierarchical control using networks trained with higher-level forward models
Greg Wayne and L F Abbott · 2014
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Jason Weston, Sumit Chopra, and Antoine Bordes · 2014
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How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson · 2014
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Variance reduction in sgd by distributed importance sampling
Guillaume Alain, Alex Lamb, Chinnadhurai Sankar, Aaron Courville, and Yoshua Bengio · 2015
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Deep compositional question answering with neural module networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein · 2015
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Unsupervised learning of invariant representations
Fabio Anselmi, Joel Z. Leibo, Lorenzo Rosasco, Jim Mutch, Andrea Tacchetti, and Tomaso Poggio · 2015
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Why are deep nets reversible: A simple theory, with implications for training
Sanjeev Arora, Yingyu Liang, and Tengyu Ma · 2015
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Modeling Motivation in MicroPsi 2
Joscha Bach · 2015
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Request confirmation networks for neuro-symbolic script execution
Joscha Bach and Priska Herger · 2015
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The Ebb and Flow of Deep Learning: a Theory of Local Learning
Pierre Baldi and Peter Sadowski · 2015
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Early Inference in Energy-Based Models Approximates Back-Propagation
Yoshua Bengio and Asja Fischer · 2015
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Accelerating stochastic gradient descent via online learning to sample
Guillaume Bouchard, Théo Trouillon, Julien Perez, and Adrien Gaidon · 2015
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Enforcing balance allows local supervised learning in spiking recurrent networks
Ralph Bourdoukan and Sophie Denève · 2015
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Perception of Object Persistence: The Origins of Object Permanence in Infancy
J. Gavin Bremner, Alan M. Slater, and Scott P. Johnson · 2015
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Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks
Tobias Brosch, Heiko Neumann, and Pieter R Roelfsema · 2015
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Coordinated and Compartmentalized Neuromodulation Shapes Sensory Processing in Drosophila
Raphael Cohn, Ianessa Morantte, and Vanessa Ruta · 2015
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Continuous online sequence learning with an unsupervised neural network model
Yuwei Cui, Chetan Surpur, Subutai Ahmad, and Jeff Hawkins · 2015
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The Neural Representation of Sequences: From Transition Probabilities to Algebraic Patterns and Linguistic Trees
Stanislas Dehaene, Florent Meyniel, Catherine Wacongne, Liping Wang, and Christophe Pallier · 2015
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Time in Cortical Circuits
GT Finnerty and MN Shadlen · 2015
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An architecture for encoding sentence meaning in left mid-superior temporal cortex
Steven M Frankland and Joshua D Greene · 2015
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DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, and Daan Wierstra · 2015
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Central Cholinergic Neurons Are Rapidly Recruited by Reinforcement Feedback
Balázs Hangya, Sachin P. Ranade, Maja Lorenc, and Adam Kepecs · 2015
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Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex
Jeff Hawkins and Subutai Ahmad · 2015
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Labelling and optical erasure of synaptic memory traces in the motor cortex
Akiko Hayashi-Takagi, Sho Yagishita, Mayumi Nakamura, Fukutoshi Shirai, Yi I Wu, Amanda L Loshbaugh, Brian Kuhlman, Klaus M Hahn, and Haruo Kasai · 2015
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Interplay of approximate planning strategies
Quentin JM Huys, Níall Lally, Paul Faulkner, Neir Eshel, Erich Seifritz, Samuel J Gershman, Peter Dayan, and Jonathan P Roiser · 2015
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Principles of connectivity among morphologically defined cell types in adult neocortex
X. Jiang, S. Shen, C. R. Cadwell, P. Berens, F. Sinz, A. S. Ecker, S. Patel, and A. S. Tolias · 2015
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Inferring algorithmic patterns with stack-augmented recurrent nets
Armand Joulin and Tomas Mikolov · 2015
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Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni, Will Whitney, Pushmeet Kohli, and Joshua B. Tenenbaum · 2015
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