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Clustering predicts memory performance in networks of spiking and non-spiking neurons
(2011)
The problem we address in this paper is that of finding effective and parsimonious patterns of connectivity in sparse associative memories. This problem must be addressed in real neuronal systems, so that results in ...
The effect of dendritic morphology on pattern recognition in the presence of active conductances
(2011)
Poster presented at CNS 2011
STD-dependent and independent encoding of input irregularity as spike rate in a computational model of a cerebellar nucleus neuron
(2011)
Neurons in the cerebellar nuclei (CN) receive inhibitory inputs from Purkinje cells in the cerebellar cortex and provide the major output from the cerebellum, but their computational function is not well understood. It has ...
The Beneficial Effects of Non-specific Synaptic Plasticity for Pattern Recognition in Auto-associative Memory
(2011)
Poster presented at CNS 2011
Optimization of neuronal morphologies for pattern recognition
(2010)
Poster presented at CNS 2010
The effect of non-specific LTD on pattern recognition in cerebellar Purkinje cells
(2010)
Poster presented at CNS 2010
Evolution of bistable dynamics in spiking neural controllers for agents performing olfactory attraction and aversion
(2010)
Poster presented at CNS 2010
The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex
(2009)
Many cerebellar learning theories assume that long-term depression (LTD) of synapses between parallel fibres (PFs) and Purkinje cells (PCs) provides the basis for pattern recognition in the cerebellum. Previous work has ...
Connection Strategies in Associative Memory Models
(2009)
The problem we address in this paper is that of finding effective and parsimonious patterns of connectivity in sparse associative memories. This problem must be addressed in real neuronal systems, so results in artificial ...