James DiCarlo
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Neuroscientist
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James DiCarlobiology Degrees
Biology
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Neuroscience
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Biology
James DiCarlo's Degrees
- Bachelors Electrical Engineering University of Pennsylvania
- Masters Electrical Engineering University of Pennsylvania
- PhD Electrical Engineering University of Pennsylvania
Why Is James DiCarlo Influential?
(Suggest an Edit or Addition)According to Wikipedia, James Joseph DiCarlo is an American neuroscientist currently serving as the Peter de Florez Professor of Neuroscience at the Massachusetts Institute of Technology. Biography DiCarlo received his BS in biomedical engineering at Northwestern University in 1990. He then attended the MD PhD program at Johns Hopkins University and graduated in 1998. After spending two years as a postdoctoral researcher in primate visual neurophysiology at Baylor College of Medicine, he joined the faculty at MIT in the Brain and Cognitive Sciences Department.
James DiCarlo's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Performance-optimized hierarchical models predict neural responses in higher visual cortex (2014) (1474)
- How Does the Brain Solve Visual Object Recognition? (2012) (1380)
- Using goal-driven deep learning models to understand sensory cortex (2016) (1161)
- Fast Readout of Object Identity from Macaque Inferior Temporal Cortex (2005) (852)
- Untangling invariant object recognition (2007) (845)
- Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition (2014) (688)
- Why is Real-World Visual Object Recognition Hard? (2008) (613)
- Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like? (2018) (325)
- Selectivity and Tolerance (“Invariance”) Both Increase as Visual Information Propagates from Cortical Area V4 to IT (2010) (318)
- Object Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex (2006) (317)
- Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior (2018) (291)
- A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation (2009) (272)
- Discrimination Training Alters Object Representations in Human Extrastriate Cortex (2006) (256)
- Explicit information for category-orthogonal object properties increases along the ventral stream (2016) (252)
- Neural population control via deep image synthesis (2018) (246)
- How far can you get with a modern face recognition test set using only simple features? (2009) (237)
- Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks (2018) (231)
- Stimulus configuration, classical conditioning, and hippocampal function. (1992) (229)
- Anterior inferotemporal neurons of monkeys engaged in object recognition can be highly sensitive to object retinal position. (2003) (217)
- Multiple Object Response Normalization in Monkey Inferotemporal Cortex (2005) (213)
- Structure of Receptive Fields in Area 3b of Primary Somatosensory Cortex in the Alert Monkey (1998) (206)
- 'Breaking' position-invariant object recognition (2005) (167)
- Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex (2007) (160)
- Unsupervised neural network models of the ventral visual stream (2020) (160)
- A rodent model for the study of invariant visual object recognition (2009) (153)
- Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs (2019) (152)
- ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation (2020) (150)
- Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance (2015) (147)
- Marking microelectrode penetrations with fluorescent dyes (1996) (144)
- Optogenetic and pharmacological suppression of spatial clusters of face neurons reveal their causal role in face gender discrimination (2015) (132)
- Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream (2013) (128)
- Unsupervised Natural Visual Experience Rapidly Reshapes Size-Invariant Object Representation in Inferior Temporal Cortex (2010) (127)
- Precedence of the Eye Region in Neural Processing of Faces (2012) (126)
- Task-Driven Convolutional Recurrent Models of the Visual System (2018) (121)
- CORnet: Modeling the Neural Mechanisms of Core Object Recognition (2018) (115)
- Minimally invasive multimode optical fiber microendoscope for deep brain fluorescence imaging. (2018) (112)
- Learning and neural plasticity in visual object recognition (2006) (108)
- Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations (2020) (106)
- Spatial and Temporal Structure of Receptive Fields in Primate Somatosensory Area 3b: Effects of Stimulus Scanning Direction and Orientation (2000) (104)
- Form representation in monkey inferotemporal cortex is virtually unaltered by free viewing (2000) (98)
- Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons (2013) (97)
- What response properties do individual neurons need to underlie position and clutter "invariant" object recognition? (2009) (91)
- Integrative Benchmarking to Advance Neurally Mechanistic Models of Human Intelligence (2020) (86)
- A stable topography of selectivity for unfamiliar shape classes in monkey inferior temporal cortex. (2008) (83)
- Comparison of Object Recognition Behavior in Human and Monkey (2014) (82)
- Using neuronal latency to determine sensory-motor processing pathways in reaction time tasks. (2005) (80)
- A neural network approach to hippocampal function in classical conditioning. (1991) (77)
- Unsupervised Natural Experience Rapidly Alters Invariant Object Representation in Visual Cortex (2008) (76)
- Velocity Invariance of Receptive Field Structure in Somatosensory Cortical Area 3b of the Alert Monkey (1999) (73)
- Comparing state-of-the-art visual features on invariant object recognition tasks (2011) (71)
- Fast Recurrent Processing via Ventrolateral Prefrontal Cortex Is Needed by the Primate Ventral Stream for Robust Core Visual Object Recognition (2020) (62)
- Balanced Increases in Selectivity and Tolerance Produce Constant Sparseness along the Ventral Visual Stream (2012) (62)
- Establishing Good Benchmarks and Baselines for Face Recognition (2008) (58)
- Receptive field structure in cortical area 3b of the alert monkey (2002) (56)
- Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe (2013) (56)
- An Open Resource for Non-human Primate Optogenetics (2020) (50)
- Neural dynamics at successive stages of the ventral visual stream are consistent with hierarchical error signals (2018) (42)
- Fine-Scale Spatial Organization of Face and Object Selectivity in the Temporal Lobe: Do Functional Magnetic Resonance Imaging, Optical Imaging, and Electrophysiology Agree? (2008) (38)
- Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research (2021) (37)
- Neuronal Learning of Invariant Object Representation in the Ventral Visual Stream Is Not Dependent on Reward (2012) (35)
- Neurophysiological Organization of the Middle Face Patch in Macaque Inferior Temporal Cortex (2016) (35)
- Eight open questions in the computational modeling of higher sensory cortex (2016) (35)
- Computational models of category-selective brain regions enable high-throughput tests of selectivity (2021) (32)
- Does Learned Shape Selectivity in Inferior Temporal Cortex Automatically Generalize Across Retinal Position? (2008) (31)
- The Neural Representation Benchmark and its Evaluation on Brain and Machine (2013) (31)
- The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI (2021) (30)
- Reversible Inactivation of Different Millimeter-Scale Regions of Primate IT Results in Different Patterns of Core Object Recognition Deficits (2018) (28)
- Chronically implantable LED arrays for behavioral optogenetics in primates (2020) (26)
- High-resolution three-dimensional microelectrode brain mapping using stereo microfocal X-ray imaging. (2008) (25)
- Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network (2020) (24)
- Next-generation deep learning based on simulators and synthetic data (2021) (24)
- Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution (2022) (22)
- Teacher Guided Architecture Search (2018) (21)
- Multi-scale hierarchical neural network models that bridge from single neurons in the primate primary visual cortex to object recognition behavior (2021) (19)
- A performance-optimized model of neural responses across the ventral visual stream (2016) (19)
- Form processing and attention effects in the somatosensory system (1996) (17)
- Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior (2019) (17)
- Goal-Driven Recurrent Neural Network Models of the Ventral Visual Stream (2021) (17)
- Deep brain fluorescence imaging with minimally invasive ultra-thin optical fibers (2017) (13)
- Neural Mechanisms Underlying Visual Object Recognition. (2014) (12)
- The inferior temporal cortex is a potential cortical precursor of orthographic processing in untrained monkeys (2020) (12)
- A hippocampal theory of schizophrenia (1991) (12)
- Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception (2021) (10)
- Can Deep Neural Networks Rival Human Ability to Generalize in Core Object Recognition (2018) (9)
- Neural Population Control via Deep ANN Image Synthesis (2018) (8)
- To find better neural network models of human vision, find better neural network models of primate vision (2019) (6)
- Catalyzing next-generation Artificial Intelligence through NeuroAI (2023) (6)
- Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream (2020) (6)
- Ultra-fast Object Recognition from Few Spikes (2005) (6)
- Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results (2018) (6)
- Computational similarities between visual and auditory cortex studied with convolutional neural networks, fMRI, and electrophysiology. (2015) (6)
- A High-throughput Screening Approach to Discovering Good Forms of Biologically-inspired Visual Representation. Text S2: Technical Details of the Computational Framework (2009) (6)
- Selectivity of Local Field Potentials in Macaque Inferior Temporal Cortex (2004) (5)
- Progress in a Moscow children's burn unit: a joint Russian-American collaboration. (1995) (5)
- Author response: Neural dynamics at successive stages of the ventral visual stream are consistent with hierarchical error signals (2018) (5)
- Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness (2022) (5)
- Topographic Deep Artificial Neural Networks (TDANNs) predict face selectivity topography in primate inferior temporal (IT) cortex (2019) (5)
- Untangling invariant object (2007) (4)
- Recurrent Connections in the Primate Ventral Visual Stream Mediate a Tradeoff Between Task Performance and Network Size During Core Object Recognition (2022) (4)
- Neuroscience: Making faces in the brain (2006) (3)
- A potential cortical precursor of visual word form recognition in untrained monkeys (2019) (3)
- Adversarially trained neural representations may already be as robust as corresponding biological neural representations (2022) (3)
- Deep learning reaches the motor system (2018) (3)
- Unsupervised changes in core object recognition behavior are predicted by neural plasticity in inferior temporal cortex (2020) (3)
- Balanced increases in selectivity and invariance produce constant sparseness across the ventral visual pathway (2010) (3)
- Adversarially trained neural representations are already as robust as biological neural representations (2022) (3)
- Chronic Stroke Sensorimotor Impairment Is Related to Smaller Hippocampal Volumes: An ENIGMA Analysis (2021) (2)
- Convolutional recurrent neural network models of dynamics in higher visual cortex (2018) (2)
- A High-Throughput Screening Approach to Discovering Good Forms of Visual Representation (2007) (2)
- Mapping core similarity among visual objects across image modalities (2014) (2)
- Evidence that the ventral stream codes the errors used in hierarchical inference and learning (2016) (2)
- Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs (2021) (2)
- 39th Annual European Brain and Behaviour Society Abstracts (2007) (2)
- Large-scale Characterization of a Universal and Compact Visual Perceptual Space (2014) (2)
- Neural dynamics at successive stages of the ventral visual stream are 1 consistent with hierarchical error signals 2 Running title : Error signaling in the ventral stream 3 (2018) (2)
- Supporting Online Material for Fast Readout of Object Identity from Macaque Inferior Temporal Cortex (2005) (1)
- How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? (2022) (1)
- Computational Models Recapitulate Key Signatures of Face, Body and Scene Processing in the FFA, EBA, and PPA (2022) (1)
- Unsupervised changes in core object recognition behavioral performance are accurately predicted by unsupervised neural plasticity in inferior temporal cortex (2020) (1)
- Comparing novel object learning in humans, models, and monkeys (2019) (1)
- Aligning Artificial Neural Networks to the Brain yields Shallow Recurrent Architectures (2018) (1)
- Linking image-by-image population dynamics in the macaque inferior temporal cortex to core object recognition behavior (2018) (1)
- Object Recognition? Need to Underlie Position and Clutter ''Invariant'' What Response Properties Do Individual Neurons (2011) (1)
- The Emergence of Face-Selective Units in a Model that Has Never Seen a Face. (2015) (1)
- The Assembly and Function of Neuronal Circuits (2013) (1)
- Pinwheel-like Iso-Orientation Domains in a Convolutional Neural Network Model (2018) (1)
- Optogenetic and pharmacological suppression of face-selective neurons reveal their causal role in face discrimination behavior. (2014) (1)
- A high-throughput screening approach to discovering good forms of inspired visual representation (2009) (1)
- Unsupervised changes in core object recognition behavior are predicted by unsupervised neural plasticity in inferior temporal cortex (2020) (1)
- Object Categorization: A Strategy for Understanding How the Brain Accomplishes Object Recognition (2009) (1)
- Evidence that the ventral stream codes the errors used in hierarchical 1 inference and learning 2 Running title : Error coding in the ventral stream 3 4 (2016) (0)
- Functionally distinct sub-regions of the parahippocampal place area revealed by model-based neural control (2022) (0)
- CONTE CENTER MEETING “ Detection and Recognition of Objects in Visual Cortex ” Wednesday , September (2004) (0)
- Selective behavioral deficits from focal inactivation of primate inferior temporal (IT) cortex: a new quantitative constraint for models of core object recognition (2018) (0)
- A precursor of reading: Neural responses to letters strings in the untrained primate inferior temporal cortex predict word recognition behavior (2019) (0)
- Steven Hsiao: In Memoriam (2015) (0)
- Representation of object motion in the macaque ventral visual stream (2022) (0)
- The MIT Quest for Intelligence Report to the President 2021–2022 (2022) (0)
- – September 11 , 2006 Spiking Neural Circuits for Gaussian Tuning and the Maximum Operation (2006) (0)
- Author response: Unsupervised changes in core object recognition behavior are predicted by neural plasticity in inferior temporal cortex (2021) (0)
- Varying object identity while maintaining the continuity of its movement breaks position invariant perception (2012) (0)
- NeuronsInteractions in Macaque Inferior Temporal (2015) (0)
- Is the rodent a valuable model system for studying invariant visual object recognition? (2007) (0)
- Decision letter: Representational untangling by the firing rate nonlinearity in V1 simple cells (2019) (0)
- Abstracts of the Brains , Minds , and Machines 2014 Summer School (2014) (0)
- A Conversation with James DiCarlo. (2014) (0)
- Primate Inferotemporal Cortex Neurons Generalize Better to Novel Image Distributions Than Corresponding Deep Neural Networks Units (2023) (0)
- Winning Faces: Model of basic primate visual processing predicts elections (2012) (0)
- Feedforward deep neural networks diverge from humans and monkeys on core visual object recognition behavior (2017) (0)
- A large-scale shape map in monkey inferior temporal (IT) cortex (2006) (0)
- Next-generation models of recurrent computations in the ventral visual stream (2021) (0)
- Neuron Perspective How Does the Brain Solve Visual Object Recognition ? (0)
- Modern population approaches for discovering neural representations and for discriminating among algorithms that might produce those representations. (2014) (0)
- DETERMINANTS OF MATERNAL AND INFANTICIDAL BEHAVIOR IN FEMALE MOUSE F1 HYBRIDS (2007) (0)
- How Well Do Contrastive Learning Algorithms Model Human Real-time and Life-long Learning? (2022) (0)
- An empirical assay of visual object learning in humans and baseline image-computable models (2023) (0)
- Winning Faces: Biologically Inspired Vision Algorithm Predicts Election Results (2010) (0)
- Are Topographic Deep Convolutional Neural Networks Better Models of the Ventral Visual Stream? (2019) (0)
- Single fiber endoscopy for deep brain imaging (2017) (0)
- Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing (2022) (0)
- Steven Hsiao: In Memoriam (2015) (0)
- Deep learning reaches the motor system (2018) (0)
- Fine-ScaleSpatialOrganizationofFaceandObjectSelectivity intheTemporalLobe:DoFunctionalMagneticResonance Imaging,OpticalImaging,andElectrophysiologyAgree? (2008) (0)
- Chemogenetic suppression of macaque V4 neurons produces retinotopically specific deficits in downstream IT neural activity patterns and core object recognition behavior (2021) (0)
- Functional Properties of Circuits, Cellular Populations, and Areas (2019) (0)
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What Schools Are Affiliated With James DiCarlo?
James DiCarlo is affiliated with the following schools:
