Dendritic computation
One of the central questions in neuroscience is how particular tasks, or computations, are
implemented by neural networks to generate behavior. The prevailing view has been that …
implemented by neural networks to generate behavior. The prevailing view has been that …
Modeling single-neuron dynamics and computations: a balance of detail and abstraction
The fundamental building block of every nervous system is the single neuron.
Understanding how these exquisitely structured elements operate is an integral part of the …
Understanding how these exquisitely structured elements operate is an integral part of the …
An anatomically constrained model for path integration in the bee brain
Path integration is a widespread navigational strategy in which directional changes and
distance covered are continuously integrated on an outward journey, enabling a straight-line …
distance covered are continuously integrated on an outward journey, enabling a straight-line …
Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics
It is widely believed the brain-inspired spiking neural networks have the capability of
processing temporal information owing to their dynamic attributes. However, how to …
processing temporal information owing to their dynamic attributes. However, how to …
Synaptic theory of working memory
It is usually assumed that enhanced spiking activity in the form of persistent reverberation for
several seconds is the neural correlate of working memory. Here, we propose that working …
several seconds is the neural correlate of working memory. Here, we propose that working …
A flexible model of working memory
F Bouchacourt, TJ Buschman - Neuron, 2019 - cell.com
Working memory is fundamental to cognition, allowing one to hold information" in mind." A
defining characteristic of working memory is its flexibility: we can hold anything in mind …
defining characteristic of working memory is its flexibility: we can hold anything in mind …
Flexible control of mutual inhibition: a neural model of two-interval discrimination
Networks adapt to environmental demands by switching between distinct dynamical
behaviors. The activity of frontal-lobe neurons during two-interval discrimination tasks is an …
behaviors. The activity of frontal-lobe neurons during two-interval discrimination tasks is an …
Memory traces in dynamical systems
To perform nontrivial, real-time computations on a sensory input stream, biological systems
must retain a short-term memory trace of their recent inputs. It has been proposed that …
must retain a short-term memory trace of their recent inputs. It has been proposed that …
Persistent neural activity: prevalence and mechanisms
Persistent neural activity refers to a sustained change in action potential discharge that long
outlasts a stimulus. It is found in a diverse set of brain regions and organisms and several in …
outlasts a stimulus. It is found in a diverse set of brain regions and organisms and several in …
Bistability of cerebellar Purkinje cells modulated by sensory stimulation
Y Loewenstein, S Mahon, P Chadderton… - Nature …, 2005 - nature.com
A persistent change in neuronal activity after brief stimuli is a common feature of many
neuronal microcircuits. This persistent activity can be sustained by ongoing reverberant …
neuronal microcircuits. This persistent activity can be sustained by ongoing reverberant …