Double stochastic resonance in neuronal dynamics due to astrocytes

T Palabas, JJ Torres, M Perc, M Uzuntarla - Chaos, Solitons & Fractals, 2023 - Elsevier
A continuously growing body of evidence indicates that astrocytes, which is the most
abundant sub-type of glial cells in the nervous system, not only provide structural and …

A disinhibitory circuit mechanism explains a general principle of peak performance during mid-level arousal

L Beerendonk, JF Mejías, SA Nuiten… - Proceedings of the …, 2024 - National Acad Sciences
Perceptual decision-making is highly dependent on the momentary arousal state of the
brain, which fluctuates over time on a scale of hours, minutes, and even seconds. The …

Frequency-difference-dependent stochastic resonance in neural systems

D Guo, M Perc, Y Zhang, P Xu, D Yao - Physical Review E, 2017 - APS
Biological neurons receive multiple noisy oscillatory signals, and their dynamical response
to the superposition of these signals is of fundamental importance for information processing …

Inverse stochastic resonance in networks of spiking neurons

M Uzuntarla, E Barreto, JJ Torres - PLoS computational biology, 2017 - journals.plos.org
Inverse Stochastic Resonance (ISR) is a phenomenon in which the average spiking rate of a
neuron exhibits a minimum with respect to noise. ISR has been studied in individual …

Stochastic resonance in 2D materials based memristors

JB Roldán, A Cantudo, JJ Torres… - npj 2D Materials and …, 2024 - nature.com
Stochastic resonance is an essential phenomenon in neurobiology, it is connected to the
constructive role of noise in the signals that take place in neuronal tissues, facilitating …

Emerging phenomena in neural networks with dynamic synapses and their computational implications

JJ Torres, HJ Kappen - Frontiers in Computational Neuroscience, 2013 - frontiersin.org
In this paper we review our research on the effect and computational role of dynamical
synapses on feed-forward and recurrent neural networks. Among others, we report on the …

Noise-modulated neural networks for selectively functionalizing sub-networks by exploiting stochastic resonance

S Ikemoto - Neurocomputing, 2021 - Elsevier
In the phenomenon of stochastic resonance, adding a certain level of nonzero noise to a
nonlinear system reduces information loss. A previous study proposed a neural network …

Patterned brain stimulation, what a framework with rhythmic and noisy components might tell us about recovery maximization

S Schmidt, M Scholz, K Obermayer… - Frontiers in human …, 2013 - frontiersin.org
Brain stimulation is having remarkable impact on clinical neurology. Brain stimulation can
modulate neuronal activity in functionally segregated circumscribed regions of the human …

Brain Performance versus Phase Transitions

JJ Torres, J Marro - Scientific reports, 2015 - nature.com
We here illustrate how a well-founded study of the brain may originate in assuming
analogies with phase-transition phenomena. Analyzing to what extent a weak signal …

Vibrational resonance in a scale-free network with different coupling schemes

SN Agaoglu, A Calim, P Hövel, M Ozer, M Uzuntarla - Neurocomputing, 2019 - Elsevier
We investigate the phenomenon of vibrational resonance (VR) in neural populations,
whereby weak low-frequency signals below the excitability threshold can be detected with …