A connectome and analysis of the adult Drosophila central brain

LK Scheffer, CS Xu, M Januszewski, Z Lu, S Takemura… - elife, 2020 - elifesciences.org
The neural circuits responsible for animal behavior remain largely unknown. We summarize
new methods and present the circuitry of a large fraction of the brain of the fruit fly …

Modeling the cerebellar microcircuit: new strategies for a long-standing issue

E D'Angelo, A Antonietti, S Casali… - Frontiers in cellular …, 2016 - frontiersin.org
The cerebellar microcircuit has been the work bench for theoretical and computational
modeling since the beginning of neuroscientific research. The regular neural architecture of …

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

M Pagkalos, S Chavlis, P Poirazi - Nature Communications, 2023 - nature.com
Computational modeling has been indispensable for understanding how subcellular
neuronal features influence circuit processing. However, the role of dendritic computations …

Global and multiplexed dendritic computations under in vivo-like conditions

BB Ujfalussy, JK Makara, M Lengyel, T Branco - Neuron, 2018 - cell.com
Dendrites integrate inputs nonlinearly, but it is unclear how these nonlinearities contribute to
the overall input-output transformation of single neurons. We developed statistically …

Optimal solid state neurons

K Abu-Hassan, JD Taylor, PG Morris, E Donati… - Nature …, 2019 - nature.com
Bioelectronic medicine is driving the need for neuromorphic microcircuits that integrate raw
nervous stimuli and respond identically to biological neurons. However, designing such …

Silicon central pattern generators for cardiac diseases

A Nogaret, EL O'Callaghan, RM Lataro… - The Journal of …, 2015 - Wiley Online Library
Cardiac rhythm management devices provide therapies for both arrhythmias and
resynchronisation but not heart failure, which affects millions of patients worldwide. This …

Automatic construction of predictive neuron models through large scale assimilation of electrophysiological data

A Nogaret, CD Meliza, D Margoliash, HDI Abarbanel - Scientific reports, 2016 - nature.com
We report on the construction of neuron models by assimilating electrophysiological data
with large-scale constrained nonlinear optimization. The method implements interior point …

An efficient analytical reduction of detailed nonlinear neuron models

O Amsalem, G Eyal, N Rogozinski, M Gevaert… - Nature …, 2020 - nature.com
Detailed conductance-based nonlinear neuron models consisting of thousands of synapses
are key for understanding of the computational properties of single neurons and large …

Complex dynamics in simplified neuronal models: reproducing Golgi cell electroresponsiveness

A Geminiani, C Casellato, F Locatelli… - Frontiers in …, 2018 - frontiersin.org
Brain neurons exhibit complex electroresponsive properties–including intrinsic subthreshold
oscillations and pacemaking, resonance and phase-reset–which are thought to play a …

Complex electroresponsive dynamics in olivocerebellar neurons represented with extended-generalized leaky integrate and fire models

A Geminiani, C Casellato, E D'Angelo… - Frontiers in …, 2019 - frontiersin.org
The neurons of the olivocerebellar circuit exhibit complex electroresponsive dynamics,
which are thought to play a fundamental role for network entraining, plasticity induction …