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Now showing items 11-20 of 40
Multiplicative gain modulation arising from inhibitory synaptic plasticity in the cerebellar nuclei
(2014)
Neurons use the rate of action potentials to encode sensory variables. This makes the output rate as a function of input, also known as input-output (I–O) relationship, a core computational function in neuronal processing. ...
Short-term depression of inhibitory Purkinje cell synapses enhances gain modulation in the cerebellar nuclei
(2013-07)
Poster presented at CNS 2013
Characterising the performance of balanced memory networks
(2013)
Poster presented at CNS 2013
A potential role for the cerebellar nuclei in absence seizures
(2013)
Poster presented ar CNS 2013
The implications of evolutionary changes in the dendritic morphology of cerebellar Purkinje cells for information processing
(2013)
Poster presented at CNS 2013
From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition
(2013)
Poster presented at CNS 2013
Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping
(Springer Nature, 2013)
In this study, two morphological representations in the genotype, a deterministic and a nondeterministic representation, are compared when evolving a neuronal morphology for a pattern recognition task. The deterministic ...
Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes
(2012)
Poster presented at CNS 2012
Evolving dendritic morphology and parameters in biologically realistic model neurons for pattern recognition
(Springer Nature, 2012)
This paper addresses the problem of how dendritic topology and other properties of a neuron can determine its pattern recognition performance. In this study, dendritic trees were evolved using an evolutionary algorithm, ...
The effect of different types of synaptic plasticity on the performance of associative memory networks with excitatory and inhibitory sub-populations
(Springer Nature, 2012)
In real neuronal networks it is known that neurons are either excitatory or inhibitory. However, it is not known whether all synapses within the subpopulations are plastic. It is interesting to investigate the implications ...