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Peter Tass

Full Professor

Stanford University

United States

Research Interests

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Professors in United States Professors in Neuroscience Neuroscience professors in United States

About

Peter Tass is a Full Professor at Stanford University, United States. His research interests encompass neuromodulation, synaptic plasticity, and network dynamics, as reflected in his recent publications. His work on coordinated reset stimulation and synaptic network structure contributes significantly to our understanding of neuronal interactions and adaptive systems.

Articles (16)

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2021

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2020

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2020

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2020

Collaborators (7)

Daniel Gauthier

Professor of Physics

Ohio State University

UNITED STATES

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Alexander Neiman

Ohio State University

UNITED STATES

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Jakub Sawicki

Potsdam Institute for Climate Impact Research

GERMANY

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Omer Karin

Assistant Professor

Imperial College London

UNITED KINGDOM

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Sarah A. M Loos

Lise-Meitner Groupleader

Max Planck Institute for Dynamics and Self-Organization

GERMANY

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Wolfram Barfuss

Argelander Professor

University of Bonn

GERMANY

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Madeleine Lowery

Dublin City University

IRELAND

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Peter Tass

Research Interests

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About

Articles (16)

Calcium-Based Synaptic and Structural Plasticity Link Pathological Activity to Synaptic Reorganization in Parkinson’s Disease

Synaptic reorganization of synchronized neuronal networks with synaptic weight and structural plasticity

Editorial: Neuromodulation using spatiotemporally complex patterns

Simulated dataset on coordinated reset stimulation of homogeneous and inhomogeneous networks of excitatory leaky integrate-and-fire neurons with spike-timing-dependent plasticity

Coordinated reset stimulation of plastic neural networks with spatially dependent synaptic connections

Sequences and their shuffling may crucially impact coordinated reset stimulation – A theoretical study

Emerging wearable technologies for multisystem monitoring and treatment of Parkinson’s disease: a narrative review

Perspectives on adaptive dynamical systems

Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity

Asymmetric adaptivity induces recurrent synchronization in complex networks

Synaptic network structure shapes cortically evoked spatio-temporal responses of STN and GPe neurons in a computational model.

Synaptic reshaping of plastic neuronal networks by periodic multichannel stimulation with single-pulse and burst stimuli

Information processing in tree networks of excitable elements

Impact of number of stimulation sites on long-lasting desynchronization effects of coordinated reset stimulation

Entrainment of a network of interacting neurons with minimum stimulating charge

Long-lasting desynchronization by decoupling stimulation

Collaborators (7)

Daniel Gauthier

Alexander Neiman

Jakub Sawicki

Omer Karin

Sarah A. M Loos

Wolfram Barfuss

Madeleine Lowery

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