- Evolving Images for Visual Neurons Using a Deep Generative ...🔍
- Functional Subpopulations of Neurons in a Macaque Face Patch ...🔍
- The Human Connectome Project 7 Tesla retinotopy dataset🔍
- Mapping multiple features in the population response of visual cortex🔍
- Neurons in the Most Superficial Lamina of the Mouse Superior ...🔍
- Brain|wide tracing of single neurons reveals breadth of information ...🔍
- Data|driven approaches to understanding visual neuron activity🔍
- A connectome of the Drosophila central complex reveals network ...🔍
Mapping model units to visual neurons reveals population ...
Evolving Images for Visual Neurons Using a Deep Generative ...
axes of the visual feature space (corresponding to a linear combination of DNN features; see These units are referred to as axis-coding units; and this result ...
Functional Subpopulations of Neurons in a Macaque Face Patch ...
For each cell, we computed a whole-brain correlation map based on its shared time course with voxels throughout the brain during naturalistic ...
The Human Connectome Project 7 Tesla retinotopy dataset
Population receptive field estimation reveals new retinotopic maps in human subcortex. ... Model fitting was performed in pixel units, and model parameters ...
Functional Subpopulations of Neurons in a Macaque Face Patch ...
Clustering of Single-Unit Functional Maps Reveals. Diverse AF Subpopulations. To explore the possibility of functional subgroups within the ...
Mapping multiple features in the population response of visual cortex
Contextual modulation of substantia nigra pars reticulata neurons. J. Neurophysiol. 83, 3042–3048 (2000). 25. Sato, M. & Hikosaka, O. Role of ...
Neurons in the Most Superficial Lamina of the Mouse Superior ...
Its superficial layers are purely visual and receive depth-specific projections from distinct subtypes of retinal ganglion cells. Here we use two-photon calcium ...
Brain-wide tracing of single neurons reveals breadth of information ...
“Our findings reveal that individual neurons in the visual cortex project to several targets in the neocortex. This means that their signals are ...
Data-driven approaches to understanding visual neuron activity
explicitly, the Poisson assumption applied in most statistical models of spiking neurons can be replaced by a MAP-based leaky integrate-and-fire model (Paninski ...
A connectome of the Drosophila central complex reveals network ...
The neuron segmentation is in pink. One newly added fragment is colored in green and marked with a red star. Synapses to neurons that were ...
Neuronal selectivity and local map structure in visual cortex. - Abstract
Recording receptive field properties across functional maps of cortex. (a) Optical imaging was used to measure the orientation maps in cats and monkeys. An ...
One-to-one mapping between deep network units and real neurons ...
Our model reaches a different conclusion: The visual projection neurons form a highly distributed population code that collectively sculpts social behavior.
A neuronal network model of macaque primary visual cortex (V1)
The spatial distribution of CV shows typically higher orientation selectivity near the pinwheel centers. While this accounts for a large part of the observed ...
Using goal-driven deep learning models to understand sensory cortex
The same idea can be used to map units in a model layer to neurons in a brain area. ... Spatio-temporal correlations and visual signalling in a ...
Deep Convolutional Neural Networks as Models of the Visual System
The convolutional filter associated with each feature map determines the feature tuning of the neurons in that feature map. Individual ...
Micro-probing enables fine-grained mapping of neuronal ...
... map that reveals the detailed visual ... Spatial elongation of population · receptive field profiles revealed by model-free fMRI back-projection.
Compound Stimuli Reveal the Structure of Visual Motion Selectivity ...
The model reveals two core properties of MT neurons ... Effects of removing model elements for one example neuron and the population.
Mapping representational mechanisms with deep neural networks
ANNs consist in large, parallel collections of artificial neurons called units, or nodes, together with weights that measure the strength of ...
Identifying Inputs to Visual Projection Neurons in Drosophila Lobula ...
Here, we attempted to map the columnar inputs into the Drosophila lobula neuropil by performing connectivity-based and morphology-based clustering.
Single-Unit Recordings Reveal the Selectivity of a Human Face Area
We recorded from face-selective neurons in human visual cortex in a region characterized by functional magnetic reso- nance imaging (fMRI) activations for faces ...
Neuronal Adaptation Reveals a Suboptimal Decoding of Orientation ...
To determine the computation underlying this perceptual choice, we took advantage of the robust visual adaptation in mouse primary visual cortex ...