According to Hebbian theory, neural networks refine their connectivity by patterned firing of action potentials in pre- and postsynaptic neurons. Spike-timing-dependent plasticity (STDP) is a synaptic Hebbian learning rule relying on the precise order and the millisecond timing of the paired activities on either side of the synapse. Temporal coding via STDP may be essential for the role of the striatum in learning of motor sequences in which sensory and motor events are associated in a precise time sequence. Corticostriatal long-term plasticity provides a fundamental mechanism for the function of the basal ganglia in procedural learning. Striatal output neurons act as detectors of distributed patterns of cortical and thalamic activity. Thus...
Synaptic plasticity is thought to be the neuronal correlate of learning. Moreover, modification of s...
The brain is provided with an enormous computing capability and exploits neural plasticity to store ...
Hebbian plasticity describes a basic mechanism for synaptic plasticity whereby synaptic weights evol...
According to Hebbian theory, neural networks refine their connectivity by patterned firing of action...
According to Hebbian postulate, neural circuits tune their synaptic weights depending on patterned f...
D’après le postulat de Hebb, les circuits neuronaux ajustent et modifient durablement leurs poids sy...
Synaptic plasticity is a biological mechanism, integrating neuronal activity in the evolution of rec...
The striatum is the major input nucleus of basal ganglia, an ensemble of interconnected sub-cortical...
Recent experimental observations of spike-timing-dependent synaptic plasticity (STDP) have revitaliz...
Our brains support various forms of learning in their various subparts. This is for instance the cas...
The corticostriatal plasticity is thought to be the neuronal substrate of procedural learning. We fi...
Abstract. Spike-timing-dependent plasticity (STDP) strengthens synapses that are activated immediate...
We study the capacity of Hodgkin-Huxley neuron in a network to change temporarily or permanently the...
This study was possible by partial financial support from the following Brazilian government agencie...
Hebbian plasticity describes a basic mechanism for synaptic plasticity whereby synaptic weights evol...
Synaptic plasticity is thought to be the neuronal correlate of learning. Moreover, modification of s...
The brain is provided with an enormous computing capability and exploits neural plasticity to store ...
Hebbian plasticity describes a basic mechanism for synaptic plasticity whereby synaptic weights evol...
According to Hebbian theory, neural networks refine their connectivity by patterned firing of action...
According to Hebbian postulate, neural circuits tune their synaptic weights depending on patterned f...
D’après le postulat de Hebb, les circuits neuronaux ajustent et modifient durablement leurs poids sy...
Synaptic plasticity is a biological mechanism, integrating neuronal activity in the evolution of rec...
The striatum is the major input nucleus of basal ganglia, an ensemble of interconnected sub-cortical...
Recent experimental observations of spike-timing-dependent synaptic plasticity (STDP) have revitaliz...
Our brains support various forms of learning in their various subparts. This is for instance the cas...
The corticostriatal plasticity is thought to be the neuronal substrate of procedural learning. We fi...
Abstract. Spike-timing-dependent plasticity (STDP) strengthens synapses that are activated immediate...
We study the capacity of Hodgkin-Huxley neuron in a network to change temporarily or permanently the...
This study was possible by partial financial support from the following Brazilian government agencie...
Hebbian plasticity describes a basic mechanism for synaptic plasticity whereby synaptic weights evol...
Synaptic plasticity is thought to be the neuronal correlate of learning. Moreover, modification of s...
The brain is provided with an enormous computing capability and exploits neural plasticity to store ...
Hebbian plasticity describes a basic mechanism for synaptic plasticity whereby synaptic weights evol...