Topic 100

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152 items. Top items listed below.

Face recognition depends on specialized mechanisms tuned to view-invariant facial features: Insights from deep neural networks optimized for face or object recognition 100 23 2

Limited correspondence in visual representation between the human brain and convolutional neural networks 100 23 2

The development of transformation tolerant visual representations differs between the human brain and convolutional neural networks 100 23 2

Deep predictive coding accounts for emergence of complex neural response properties along the visual cortical hierarchy 100 50 26 23 2

The relative coding strength of object identity and nonidentity features in human occipito-temporal cortex and convolutional neural networks 100 23 2

Reconstructing feedback representations in ventral visual pathway with a generative adversarial autoencoder 100 50 22 2

Diverse deep neural networks all predict human IT well, after training and fitting 100 22 2

Leveraging prior concept learning improves ability to generalize from few examples in computational models of human object recognition 100 26 23 2

Adaptation supports short-term memory in a visual change detection task 100 23 2

Emergence of Visual Center-Periphery Spatial Organization in Deep Convolutional Neural Networks 100 23 2

Emergence of Non-Linear Mixed Selectivity in Prefrontal Cortex after Training 100 23 2

Implementation-independent representation for deep convolutional neural networks and humans in processing faces 100 23 2

An Unsupervised Deep Neural Network for Image Completion Resembles Early Visual Cortex fMRI Activity Patterns for Occluded Scenes 100 22 2

Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network 100 50 23 2

Joint Representation of Color and Shape in Convolutional Neural Networks: A Stimulus-rich Network Perspective 100 23 2

The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks 100 50 38 23 2

Learning the synaptic and intrinsic membrane dynamics underlying working memory in spiking neural network models 100 50 2

Hierarchical sparse coding of objects in deep convolutional neural networks 100 2

Transferability of Brain decoding using GraphConvolutional Networks 100 26 22 2

Predicting brain function from anatomy using geometric deep learning 100 50 2

Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision 100 26 23 2

Learning receptive field properties of complex cells in V1 100 50 38 23 2

Fast recurrent processing via ventral prefrontal cortex is needed by the primate ventral stream for robust core visual object recognition 100 50 23 2

Predictability in natural images determines V1 firing rates and synchronization: A deep neural network approach 100 50 42 2

Brain hierarchy score: Which deep neural networks are hierarchically brain-like? 100 2

Generalization in data-driven models of primary visual cortex 100 26 2

Feature-based encoding of face identity by single neurons in the human medial temporal lobe 100 23 2

Learning Divisive Normalization in Primary Visual Cortex 100 50 26 23 2

Noise-robust recognition of objects by humans and deep neural networks 100 23 2

Unsupervised Neural Network Models of the Ventral Visual Stream 100 26 2

Language processing in brains and deep neural networks: computational convergence and its limits 100 2

Do deep neural networks see the way we do? 100 23 2

Task-driven hierarchical deep neural network models of the proprioceptive pathway 100 50 2

The neural architecture of language: Integrative reverse-engineering converges on a model for predictive processing 100 2

Predicting identity-preserving object transformations across the human ventral visual stream 100 23 2

No evidence for effect of reward motivation on coding of behaviorally relevant category distinctions across the frontoparietal cortex 23 22 2

What computational model provides the best explanation of face representations in the primate brain? 100 23 2

Individual differences among deep neural network models 100 2

A Deep Feature Learning Approach for Mapping the Brains Microarchitecture and Organization 100 26 2

CNN explains tuning properties of anterior, but not middle, face-processing areas in macaque IT 100 50 23 2

Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like? 100 26 2

Representation of semantic information in ventral areas during encoding is associated with improved visual short-term memory 100 23 22 2

Unravelling Representations in Scene-selective Brain Regions Using Scene Parsing Deep Neural Networks 100 22 2

Strong inhibitory signaling underlies stable temporal dynamics and working memory in spiking neural networks 100 50 2

A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons 100 26 2

Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream 100 26 2

Instance-level contrastive learning yields human brain-like representation without category-supervision 100 23 2

Deep Neural Networks Point to Mid-level Complexity ofRodent Object Vision 100 23 2

Biased orientation representations can be explained by experience with non-uniform training set statistics 100 23 2

A functional spiking-neuron model of activity-silent working memory in humans based on calcium-mediated short-term synaptic plasticity 100 23 2

Evidence for face selectivity in early vision 100 23 2

Aesthetic preference for art emerges from a weighted integration over hierarchically structured visual features in the brain 100 2

A neural circuit mechanism of categorical perception: top-down signaling in the primate cortex 100 23 2

Rapid contextualization of fragmented scene information in the human visual system 100 23 2

Hue tuning curves in V4 change with visual context 100 23 2

Selective control of working memory in prefrontal, parietal, and visual cortex 23 2

Shape coding in occipito-temporal cortex relies on object silhouette, curvature and medial-axis 100 23 22 2

Object representations in the human brain reflect the co-occurrence statistics of vision and language 100 23 2

Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain 100 22 2

The face module emerged in a deep convolutional neural network selectively deprived of face experience 100 23 2

Nonlinear decoding of natural images from large-scale primate retinal ganglion recordings 100 50 26 2

Spike-frequency adaptation provides a long short-term memory to networks of spiking neurons 100 2

Neural state space alignment for magnitude generalization in humans and recurrent networks 100 2

Single circuit in V1 capable of switching contexts during movement using VIP population as a switch 50 23 2

A computational examination of the two-streams hypothesis: which pathway needs a longer memory? 100 23 2

Behavioural relevance of spontaneous, transient brain network interactions in fMRI 22 2

Intrinsic noise improves speech recognition in a computational model of the auditory pathway 100 2

Unsupervised changes in core object recognition behavior are predicted by unsupervised neural plasticity in inferior temporal cortex 100 23 2

The influence of object-colour knowledge on emerging object representations in the brain 100 23 2

Semantic relatedness emerges in deep convolutional neural networks designed for object recognition 100 23 2

Visual and semantic representations predict subsequent memory in perceptual and conceptual memory tests 100 23 22 2

Quantifying the Brain Predictivity of Artificial Neural Networks with Nonlinear Response Mapping 100 26 2

Neural oscillatory activities in separate frequencies encode hierarchically distinct visual features 42 2

Decoding and encoding models reveal the role of mental simulation in the brain representation of meaning 22 2

Topological Augmentation of Latent Information Streams in Feed-Forward Neural Networks 100 26 2

Visual featural topography in the human ventral visual pathway 100 23 2

Engineering recurrent neural networks from task-relevant manifolds and dynamics 100 38 2

Multitask Learning over Shared Subspaces 100 26 23 2

Complementary roles of dimensionality and population structure in neural computations 100 50 26 2

Complementary effects of adaptation and gain control on sound encoding in primary auditory cortex 23 2

An image-computable model of human visual shape similarity 100 23 2

Disentangled behavioral representations 100 26 2

Models of the ventral stream that categorize and visualize images 100 50 23 2

Computational characteristics of the striatal dopamine system described by reinforcement learning with fast generalization 100 58 2

A modular neural network model of grasp movement generation 100 50 2

Image memorability is predicted by discriminability and similarity in different stages of a convolutional neural network 100 23 2

A generative modeling approach for interpreting population-level variability in brain structure 100 26 2

Real-world expectations and their affective value modulate object processing 23 2

Predictive coding as a unifying principle for explaining a broad range of brightness phenomena 100 23 2

Sequence learning recodes cortical representations instead of strengthening initial ones 100 23 2

Large-scale functional integration, rather than functional dissociation along dorsal and ventral streams, underlies visual perception and action 22 2

Tracking age differences in neural distinctiveness across representational levels 100 22 2

Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech 100 38 2

Single Cortical Neurons as Deep Artificial Neural Networks 100 26 2

Spatial and temporal context jointly modulate the sensory response within the ventral visual stream 23 2

Task-Dependent Electrophysiological Signatures of Explicit Perceptual Timing 23 2

Interaction between neuronal encoding and population dynamics during categorization task switching in parietal cortex 100 23 2

Holistic face recognition is an emergent phenomenon of spatial integration in face-selective regions 100 23 2

Not quite human, not quite machine: Electrophysiological responses to robot faces. 100 23 2

Cortical response to naturalistic stimuli is largely predictable with deep neural networks 100 23 2