A computational model for angular velocity integration in a locust heading circuit DOI Creative Commons
Kathrin Pabst, Evripidis Gkanias, Barbara Webb

et al.

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(12), P. e1012155 - e1012155

Published: Dec. 20, 2024

Accurate navigation often requires the maintenance of a robust internal estimate heading relative to external surroundings. We present model for angular velocity integration in desert locust circuit, applying concepts from early theoretical work on circuits mammals novel biological context insects. In contrast similar models proposed fruit fly, this circuit uses single 360° direction representation and is updated by neuromodulatory inputs. Our computational was implemented using steady-state firing rate neurons with dynamical synapses. The connectivity constrained data, remaining degrees freedom were optimised machine learning approach yield physiologically plausible neuron activities. demonstrate that noise. signal can be effectively used as input an existing insect goal-directed steering adapted outbound locomotion steady resembles migration. study supports possibility computations orientation may differently neural hardware fly locust.

Language: Английский

Dynamics of neural motifs realized with a minimal memristive neurosynaptic unit DOI
Jiaming Wu, Adrien d’Hollande, Haoran Du

et al.

Physical Review Applied, Journal Year: 2025, Volume and Issue: 23(3)

Published: March 14, 2025

Language: Английский

Citations

0
Models of working memory DOI

Nicolas Brunel

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
From the fly connectome to exact ring attractor dynamics DOI Creative Commons

Tirthabir Biswas,

Angel Stanoev, Sandro Romani

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Abstract A cognitive compass enabling spatial navigation requires neural representation of heading direction (HD), yet the circuit architecture this remains unclear. While various network models have been proposed to explain HD systems, these rely on simplified architectures that are incompatible with empirical observations from connectomes. Here we construct a novel model for fruit fly system satisfies both connectome-derived architectural constraints and functional requirement continuous representation. We characterize an ensemble attractor networks where neurons providing local mutual excitation coupled inhibitory neurons. discover new mechanism emerges combining symmetric anti-symmetric activity patterns. Our analysis reveals three distinct realizations all match observed neuron but differ in their predictions activation Further, found deviations can be compensated by cell-type-specific rescaling synaptic weights, which could potentially achieved through neuromodulation. This framework extended incorporate complete central complex connectome reveal principles circuits representing other quantities, such as location, across insects vertebrates.

Language: Английский

Citations

0
A computational model for angular velocity integration in a locust heading circuit DOI Creative Commons
Kathrin Pabst, Evripidis Gkanias, Barbara Webb

et al.

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(12), P. e1012155 - e1012155

Published: Dec. 20, 2024

Accurate navigation often requires the maintenance of a robust internal estimate heading relative to external surroundings. We present model for angular velocity integration in desert locust circuit, applying concepts from early theoretical work on circuits mammals novel biological context insects. In contrast similar models proposed fruit fly, this circuit uses single 360° direction representation and is updated by neuromodulatory inputs. Our computational was implemented using steady-state firing rate neurons with dynamical synapses. The connectivity constrained data, remaining degrees freedom were optimised machine learning approach yield physiologically plausible neuron activities. demonstrate that noise. signal can be effectively used as input an existing insect goal-directed steering adapted outbound locomotion steady resembles migration. study supports possibility computations orientation may differently neural hardware fly locust.

Language: Английский

Citations

0