Functional specificity of recurrent inhibition in visual cortex
In the neocortex, neural activity is shaped by the interaction of excitatory and inhibitory
neurons, defined by the organization of their synaptic connections. Although connections …
neurons, defined by the organization of their synaptic connections. Although connections …
Coordinated drift of receptive fields in Hebbian/anti-Hebbian network models during noisy representation learning
Recent experiments have revealed that neural population codes in many brain areas
continuously change even when animals have fully learned and stably perform their tasks …
continuously change even when animals have fully learned and stably perform their tasks …
Multilevel visual motion opponency in Drosophila
Inhibitory interactions between opponent neuronal pathways constitute a common circuit
motif across brain areas and species. However, in most cases, synaptic wiring and …
motif across brain areas and species. However, in most cases, synaptic wiring and …
[HTML][HTML] Computational methods to study information processing in neural circuits
The brain is an information processing machine and thus naturally lends itself to be studied
using computational tools based on the principles of information theory. For this reason …
using computational tools based on the principles of information theory. For this reason …
mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops
EC Pavarino, E Yang, N Dhanyasi, MD Wang… - Frontiers in Neural …, 2023 - frontiersin.org
Connectomics is fundamental in propelling our understanding of the nervous system's
organization, unearthing cells and wiring diagrams reconstructed from volume electron …
organization, unearthing cells and wiring diagrams reconstructed from volume electron …
Fast imaging of millimeter-scale areas with beam deflection transmission electron microscopy
Serial section transmission electron microscopy (TEM) has proven to be one of the leading
methods for millimeter-scale 3D imaging of brain tissues at nanoscale resolution. It is …
methods for millimeter-scale 3D imaging of brain tissues at nanoscale resolution. It is …
Inferring the temporal evolution of synaptic weights from dynamic functional connectivity
How to capture the temporal evolution of synaptic weights from measures of dynamic
functional connectivity between the activity of different simultaneously recorded neurons is …
functional connectivity between the activity of different simultaneously recorded neurons is …
[HTML][HTML] Structure, dynamics, coding and optimal biophysical parameters of efficient excitatory-inhibitory spiking networks
The principle of efficient coding posits that sensory cortical networks are designed to encode
maximal sensory information with minimal metabolic cost. Despite the major influence of …
maximal sensory information with minimal metabolic cost. Despite the major influence of …
Mirrored might: A vision for inhibition
Mirrored might: A vision for inhibition - ScienceDirect Skip to main contentSkip to article
Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
Emergence and long-term maintenance of modularity in spiking neural networks with plasticity
In the last three decades the field of brain connectivity has uncovered that cortical regions,
interconnected via white-matter fibers, form a modular and hierarchical network. This type of …
interconnected via white-matter fibers, form a modular and hierarchical network. This type of …