The WiN-GUI enables real-time exploration of neuron model behaviors by adjusting internal parameters and accounting for input properties such as scale and temporal resolution. The spiking responses are however often difficult to interpret and categorize. The update to version 2 introduces a systematic labeling of spike- patterns to facilitate clearer communication across researchers and disciplines, enabling a common framework to describe neuron responses without sharing data. Labels also allow researchers to intentionally target specific neuronal behaviors, fostering biologically plausible simulations or specific tuning goals. To this end, our WiN-GUI incorporates a spike-pattern classifier for automated identification and analysis of neuron activity, streamlining research and collaboration.
WiN-GUI Version 2: A graphical tool for neuron-based encoding / Fra, Vittorio; Müller-Cleve, Simon F.; Urgese, Gianvito; Bartolozzi, Chiara. - In: SOFTWAREX. - ISSN 2352-7110. - STAMPA. - 29:(2025), pp. 1-5. [10.1016/j.softx.2024.102031]
WiN-GUI Version 2: A graphical tool for neuron-based encoding
Fra, Vittorio;Urgese, Gianvito;
2025
Abstract
The WiN-GUI enables real-time exploration of neuron model behaviors by adjusting internal parameters and accounting for input properties such as scale and temporal resolution. The spiking responses are however often difficult to interpret and categorize. The update to version 2 introduces a systematic labeling of spike- patterns to facilitate clearer communication across researchers and disciplines, enabling a common framework to describe neuron responses without sharing data. Labels also allow researchers to intentionally target specific neuronal behaviors, fostering biologically plausible simulations or specific tuning goals. To this end, our WiN-GUI incorporates a spike-pattern classifier for automated identification and analysis of neuron activity, streamlining research and collaboration.Pubblicazioni consigliate
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https://hdl.handle.net/11583/3000350
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