User profiles for Everton J. Agnes
Everton J. AgnesBiozentrum, University of Basel Verified email at unibas.ch Cited by 705 |
Inhibitory plasticity: balance, control, and codependence
G Hennequin, EJ Agnes… - Annual review of …, 2017 - annualreviews.org
Inhibitory neurons, although relatively few in number, exert powerful control over brain
circuits. They stabilize network activity in the face of strong feedback excitation and actively …
circuits. They stabilize network activity in the face of strong feedback excitation and actively …
[HTML][HTML] Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks
Synaptic plasticity, the putative basis of learning and memory formation, manifests in
various forms and across different timescales. Here we show that the interaction of Hebbian …
various forms and across different timescales. Here we show that the interaction of Hebbian …
[HTML][HTML] Regimes and mechanisms of transient amplification in abstract and biological neural networks
Neuronal networks encode information through patterns of activity that define the networks’
function. The neurons’ activity relies on specific connectivity structures, yet the link between …
function. The neurons’ activity relies on specific connectivity structures, yet the link between …
Complementary inhibitory weight profiles emerge from plasticity and allow flexible switching of receptive fields
Cortical areas comprise multiple types of inhibitory interneurons, with stereotypical connectivity
motifs that may follow specific plasticity rules. Yet, their combined effect on postsynaptic …
motifs that may follow specific plasticity rules. Yet, their combined effect on postsynaptic …
[HTML][HTML] Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks
The brain’s functionality is developed and maintained through synaptic plasticity. As synapses
undergo plasticity, they also affect each other. The nature of such ‘co-dependency’ is …
undergo plasticity, they also affect each other. The nature of such ‘co-dependency’ is …
Interacting synapses stabilise both learning and neuronal dynamics in biological networks
Distinct synapses influence one another when they undergo changes, with unclear consequences
for neuronal dynamics and function. Here we show that synapses can interact such …
for neuronal dynamics and function. Here we show that synapses can interact such …
[HTML][HTML] Model architecture for associative memory in a neural network of spiking neurons
A synaptic connectivity model is assembled on a spiking neuron network aiming to build up
a dynamic pattern recognition system. The connection architecture includes gap junctions …
a dynamic pattern recognition system. The connection architecture includes gap junctions …
[HTML][HTML] Synchronization regimes in a map-based model neural network
The dynamical activity of a neural network model composed of electrically connected map-based
neurons is investigated. After detailing the behavior of the isolated neuron for a wide …
neurons is investigated. After detailing the behavior of the isolated neuron for a wide …
[PDF][PDF] Context-modular memory networks support high-capacity, flexible, and robust associative memories
Context, such as behavioral state, is known to modulate memory formation and retrieval, but
is usually ignored in associative memory models. Here, we propose several types of …
is usually ignored in associative memory models. Here, we propose several types of …
[PDF][PDF] Model architecture for pattern recognition and discrimination in a neural network of spiking neurons
EJ Agnes, R Erichsen Jr, LG Brunnet - Dynamics Days South America … - mtc-m16d.sid.inpe.br
A living being interacts with the world receiving external stimuli like light, sound or chemical
molecules. The whole set of possible stimuli must be encoded and identified by the brain. …
molecules. The whole set of possible stimuli must be encoded and identified by the brain. …