Cited by A Memcapacitor Biomimetic Circuit Realizing Classical Conditioning and Fear Learning

A design principle for neuronal firing with up-down oscillation through Na+ dynamics DOI

Tomohide R. Sato,

Koji L. Ode,

Fukuaki L. Kinoshita

et al.

iScience, Journal Year: 2025, Volume and Issue: unknown, P. 111904 - 111904

Published: Jan. 1, 2025

Language: Английский

Citations

Neuromorphic dynamics and behavior synchronization of fractional-order memristive synapses DOI

Y. Yang,

Xiang Xu, Gangquan Si

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 197, P. 116469 - 116469

Published: April 26, 2025

Language: Английский

Citations

Electrosensory midbrain neurons optimally decode ascending input during object localization DOI

Myriah Haggard, Maurice J. Chacron

The Journal of Physiology, Journal Year: 2025, Volume and Issue: unknown

Published: May 5, 2025

Abstract Understanding how downstream brain areas decode sensory information represented by neural populations remains a central problem in neuroscience. While decoders that are optimized to extract the maximum amount of have been extensively used research, whether these physiologically realistic at best unclear. Here we show decoding scheme based on correlations between activities absence stimulation can predict responses as well optimal decoder. Simultaneous recordings were made from primary and their midbrain targets electrosensory system Apteronotus leptorhynchus . We found exhibited significant (i.e. ‘baseline’), with activity lagging short latency. then investigated combined downstream. Overall, decoder assigned weights each neuron was trained solely baseline performed stimulation. Interestingly, both greatly outperformed schemes for which every same weight or when shuffled, indicating identity is critical. Taken together, our results suggest uses strategies perform levels but qualitatively different those predicted solutions. image Key points How signals decoded give rise perception poorly understood. recorded targets. A solution responses. important qualitative differences solution. Our demonstrate do an strategy.

Language: Английский

Citations

Intermittent spike train processing through fractional leaky integrate-and-fire neuromorphic unit DOI

Renat T. Sibatov, A. K. Gavrilova, A. I. Savitskiy

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(5)

Published: May 1, 2025

The leaky integrate-and-fire (LIF) model provides a fundamental framework for modeling neuronal dynamics in spiking networks. While generalized LIF models can incorporate features, such as spike-frequency adaptation and noise, our study specifically examines its fractional-order extension governed by relaxation equation with fractional derivative, whose power-law emulate long-term memory effects ideal processing intermittent, scale-invariant signals. Statistical properties of the response to flickering input voltage pulse flow, characterized Poisson process order ν, are evaluated. To implement hardware, we developed microscale transistor using network single-walled carbon nanotubes an electrolyte gate. system exhibits dynamics, making it well-suited neuromorphic networks that signals long-range temporal correlations.

Language: Английский

Citations

A Memcapacitor Biomimetic Circuit Realizing Classical Conditioning and Fear Learning DOI

Junwei Sun,

Bairen Chen,

Peng Liu

et al.

IEEE Transactions on Circuits and Systems I Regular Papers, Journal Year: 2024, Volume and Issue: 71(12), P. 5694 - 5706

Published: Aug. 29, 2024

Language: Английский

Citations