<p>Illustration of different connectivity measures for a synaptic network connecting neuron populations to (which may be identical for recurrent networks). <b>A, </b><i>Anatomical connectivity </i> and <i>potential connectivity </i> are fractions of neuron pairs connected by an actual (black circles) and potential synapse (blue rectangles), respectively. <b>B,</b> The <i>consolidation signal </i> specifies the ensemble of neuron pairs that request a synapse (, red circles) to support storage of a given memory set. The corresponding <i>effectual connectivity </i> is then the fraction of neuron pairs requesting a synapse that are already connected by an actual synapse. The <i>consolidation load </i> is the fraction of neuron pairs that re...
The connectivity of cortical microcircuits is a major determinant of brain function; defining how ac...
(A) Interpretation of network nodes. “Single neuron”: connections exist between single neuronal unit...
Sustainable research on computational models of neuronal networks requires published models to be un...
<p><b>A:</b> Schematic of an assembly <i>i</i> consisting of an excitatory (<i>E</i><sub><i>i</i></s...
<p>Each curve shows the evolution of effectual connectivity as a function of time for different pa...
<p>Left column specifies which cell-types are connected. ‘Afferent’ means that the connection number...
<p><b>(A)</b> An example of 9 connected neurons (circles). Lines signify connections. <b>(B)</b> Aft...
This paper describes how to analytically characterize the connectivity of neuromorphic networks tak...
<p><b>(A)</b> Initial connectivity matrix of the random network. Each excitatory neuron is connected...
As is widely understood, brain functioning depends on the interaction among several neural populatio...
<p>Left column specifies which cell-types are connected. ‘Afferent’ means that the connection number...
˜Connectivity and Functional Specialization in the Brain' is a topic that describes nerve cells in t...
A statement like “$N_\text{s}$ source neurons and $N_\text{t}$ target neurons are connected randomly...
Studies of brain network connectivity improved understanding on brain changes and adaptation in resp...
<p><b>A</b>, Synapse formation in NETMORPH. The shortest distance between an axonal (A) and a dendri...
The connectivity of cortical microcircuits is a major determinant of brain function; defining how ac...
(A) Interpretation of network nodes. “Single neuron”: connections exist between single neuronal unit...
Sustainable research on computational models of neuronal networks requires published models to be un...
<p><b>A:</b> Schematic of an assembly <i>i</i> consisting of an excitatory (<i>E</i><sub><i>i</i></s...
<p>Each curve shows the evolution of effectual connectivity as a function of time for different pa...
<p>Left column specifies which cell-types are connected. ‘Afferent’ means that the connection number...
<p><b>(A)</b> An example of 9 connected neurons (circles). Lines signify connections. <b>(B)</b> Aft...
This paper describes how to analytically characterize the connectivity of neuromorphic networks tak...
<p><b>(A)</b> Initial connectivity matrix of the random network. Each excitatory neuron is connected...
As is widely understood, brain functioning depends on the interaction among several neural populatio...
<p>Left column specifies which cell-types are connected. ‘Afferent’ means that the connection number...
˜Connectivity and Functional Specialization in the Brain' is a topic that describes nerve cells in t...
A statement like “$N_\text{s}$ source neurons and $N_\text{t}$ target neurons are connected randomly...
Studies of brain network connectivity improved understanding on brain changes and adaptation in resp...
<p><b>A</b>, Synapse formation in NETMORPH. The shortest distance between an axonal (A) and a dendri...
The connectivity of cortical microcircuits is a major determinant of brain function; defining how ac...
(A) Interpretation of network nodes. “Single neuron”: connections exist between single neuronal unit...
Sustainable research on computational models of neuronal networks requires published models to be un...