Diverse inhibitory neurons in the mammalian brain shape circuit connectivity and dynamics through mechanisms of synaptic plasticity. Inhibitory plasticity can establish excitation/inhibition (E/I) balance, control neuronal firing, and affect local calcium concentration, hence regulating neuronal activity at the network, single neuron, and dendritic level. Computational models can synthesize multiple experimental results and provide insight into how inhibitory plasticity controls circuit dynamics and sculpts connectivity by identifying phenomenological learning rules amenable to mathematical analysis. We highlight recent studies on the role of inhibitory plasticity in modulating excitatory plasticity, forming structured networks underlying m...
The brain consists of billions of neurons that each form thousands of synaptic connections with each...
Inhibitory circuits are diverse, yet with a poorly understood cell biology. Functional characterizat...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biology, 2016.This electronic v...
Synaptic plasticity is the cellular and molecular counterpart of learning and memory and, since its ...
Synaptic plasticity is the cellular and molecular counterpart of learning and memory and, since its ...
The neurons in the mammalian brain can be classified into two broad categories: excitatory and inhib...
Computational neuroscience has a long-standing tradition of investigating the consequences of excita...
Until recently, the study of plasticity of neural circuits focused almost exclusively on potentiatio...
Until recently, the study of plasticity of neural circuits focused almost exclusively on potentiatio...
Learning and memory are believed to depend on plastic changes of neuronal circuits due to activity-d...
Until recently, the study of plasticity of neural circuits focused almost exclusively on potentiatio...
From the propagation of neural activity through synapses, to the integration of signals in the dendr...
Synaptic changes are hypothesized to underlie learning and memory formation in the brain. But Hebbia...
The brain consists of billions of neurons that each form thousands of synaptic connections with each...
Inhibitory neurons, although relatively few in number, exert powerful control over brain circuits. T...
The brain consists of billions of neurons that each form thousands of synaptic connections with each...
Inhibitory circuits are diverse, yet with a poorly understood cell biology. Functional characterizat...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biology, 2016.This electronic v...
Synaptic plasticity is the cellular and molecular counterpart of learning and memory and, since its ...
Synaptic plasticity is the cellular and molecular counterpart of learning and memory and, since its ...
The neurons in the mammalian brain can be classified into two broad categories: excitatory and inhib...
Computational neuroscience has a long-standing tradition of investigating the consequences of excita...
Until recently, the study of plasticity of neural circuits focused almost exclusively on potentiatio...
Until recently, the study of plasticity of neural circuits focused almost exclusively on potentiatio...
Learning and memory are believed to depend on plastic changes of neuronal circuits due to activity-d...
Until recently, the study of plasticity of neural circuits focused almost exclusively on potentiatio...
From the propagation of neural activity through synapses, to the integration of signals in the dendr...
Synaptic changes are hypothesized to underlie learning and memory formation in the brain. But Hebbia...
The brain consists of billions of neurons that each form thousands of synaptic connections with each...
Inhibitory neurons, although relatively few in number, exert powerful control over brain circuits. T...
The brain consists of billions of neurons that each form thousands of synaptic connections with each...
Inhibitory circuits are diverse, yet with a poorly understood cell biology. Functional characterizat...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biology, 2016.This electronic v...