<p>The rule was determined from (A) learning efficacies, (B) the Bayesian information criterion (BIC), and (C) model predictions of connectivity changes, and summarized in (D). <b>(A)</b> The expectation of learning efficacy estimated from connection strengths under the assumption that synaptic plasticity in cultured neural networks obeys either a Hebbian (<i>μ</i><sup><i>α</i></sup>; left) or state-dependent Hebbian (<i>μ</i><sup><i>β</i>1</sup>, <i>μ</i><sup><i>β</i>2</sup>; right) rule. <i>μ</i><sup><i>β</i>2</sup> was correlated with <i>μ</i><sup><i>β</i>1</sup> (*, <i>p</i> = 0.037; <i>n</i> = 23 cultures, Spearman test) and their ratio was 27.1%. <b>(B)</b> The BIC of the <i>α</i>- and <i>β</i>-models. BIC of the <i>β</i>-model was si...
A. Example model scores across encoding stages and plasticity rules. A typical example of the relati...
Synapses and neural connectivity are plastic and shaped by experience. But to what extent does conne...
Neural information processing includes the extraction of information present in the statistics of af...
<p>Transitions during learning (left) and overall before-and-after changes (right) in connection str...
We applied a training protocol to cultured cortical networks, adapted from Shahaf and Marom [1]. Lik...
<p><b>(A)</b> Structure of the simple feedforward network model. Note that neurons with high indexes...
Learning, or more generally, plasticity may be studied using cultured neuronal networks on multi ele...
Culture involves the origination and transmission of ideas, but the conditions in which culture can ...
<p>(A) Raster plot showing network spiking during learning () and auto-associative recall (). The ve...
We show that a form of synaptic plasticity recently discovered in slices of the rat visual cortex (A...
<p>(A) Network architecture with 21×6 inputs and 7×3 network neurons. The green, red and blue neuron...
We introduce an approach for the quantitative assessment of the connectivity in neuronal cultures, b...
The search for biologically faithful synaptic plasticity rules has resulted in a large body of model...
The state-of-the art machine learning approach to training deep neural networks, backpropagation, is...
A fundamental aspect of learning in biological neural networks is the plasticity property which allo...
A. Example model scores across encoding stages and plasticity rules. A typical example of the relati...
Synapses and neural connectivity are plastic and shaped by experience. But to what extent does conne...
Neural information processing includes the extraction of information present in the statistics of af...
<p>Transitions during learning (left) and overall before-and-after changes (right) in connection str...
We applied a training protocol to cultured cortical networks, adapted from Shahaf and Marom [1]. Lik...
<p><b>(A)</b> Structure of the simple feedforward network model. Note that neurons with high indexes...
Learning, or more generally, plasticity may be studied using cultured neuronal networks on multi ele...
Culture involves the origination and transmission of ideas, but the conditions in which culture can ...
<p>(A) Raster plot showing network spiking during learning () and auto-associative recall (). The ve...
We show that a form of synaptic plasticity recently discovered in slices of the rat visual cortex (A...
<p>(A) Network architecture with 21×6 inputs and 7×3 network neurons. The green, red and blue neuron...
We introduce an approach for the quantitative assessment of the connectivity in neuronal cultures, b...
The search for biologically faithful synaptic plasticity rules has resulted in a large body of model...
The state-of-the art machine learning approach to training deep neural networks, backpropagation, is...
A fundamental aspect of learning in biological neural networks is the plasticity property which allo...
A. Example model scores across encoding stages and plasticity rules. A typical example of the relati...
Synapses and neural connectivity are plastic and shaped by experience. But to what extent does conne...
Neural information processing includes the extraction of information present in the statistics of af...