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Profil bibliographique

Hsuan-Pei Huang

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

7Publications signalées
30Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Neurobiology and Insect Physiology ResearchAdvanced Memory and Neural ComputingNeural dynamics and brain functionInsect and Arachnid Ecology and BehaviorNeuroscience and Neural Engineering

Les publications récentes

Accès ouvert 2025 preprint OpenAlex

Ca 2+ Plateau Potentials Reflect Cross-Theta Cortico-Hippocampal Input Dynamics and Acetylcholine for Rapid Formation of Efficient Place-Cell Code

Hanying Wang, Hsuan-Pei Huang, Ching-Tsuey Chen, Xianbin Huang et autres

Summary A central tenet of Systems Neuroscience lies in an understanding of memory and behavior through learning rules, but synaptic plasticity has rarely been shown to create functional single-neuron code in a causal and biophysically rooted manner. Behavioral Time-Scale Synaptic Plasticity (BTSP), …

tw, ca (code pays fourni par la source)

1 citation bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2023 article OpenAlex

Global inhibition in head-direction neural circuits: a systematic comparison between connectome-based spiking neural circuit models

Ning Chang, Hsuan-Pei Huang, Chung‐Chuan Lo

The recent discovery of the head-direction (HD) system in fruit flies has provided unprecedented insights into the neural mechanisms of spatial orientation. Despite the progress, the neural substance of global inhibition, an essential component of the HD circuits, remains controversial. Some studies …

tw (code pays fourni par la source)

6 citations Journal of Comparative Physiology A
Accès ouvert 2023 preprint OpenAlex

Global inhibition in head-direction neural circuits: a systematic comparison between connectome-based spiking neural circuit models

Ning Chang, Hsuan-Pei Huang, Chung‐Chuan Lo

Abstract The recent discovery of the head-direction (HD) system in fruit flies has provided unprecedented insights into the neural mechanisms of spatial orientation. Despite the progress, the neural substance of global inhibition, an essential component of the HD circuits, remains controversial. Some …

tw (code pays fourni par la source)

1 citation bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2021 article OpenAlex

Coordination through Inhibition: Control of Stabilizing and Updating Circuits in Spatial Orientation Working Memory

Rui Han, Hsuan-Pei Huang, Chia-Lung Chuang, Hung-Hsiu Yen et autres

Spatial orientation memory plays a crucial role in animal navigation. Recent studies of tethered Drosophila melanogaster (fruit fly) in a virtual reality setting showed that the head direction is encoded in the form of an activity bump, i.e., localized neural activity, in …

tw (code pays fourni par la source)

14 citations eNeuro
Accès ouvert 2021 article OpenAlex

Identification of Neuronal Polarity by Node-Based Machine Learning

Chen-Zhi Su, Kuan-Ting Chou, Hsuan-Pei Huang, Chiau-Jou Li et autres

Identifying the direction of signal flows in neural networks is important for understanding the intricate information dynamics of a living brain. Using a dataset of 213 projection neurons distributed in more than 15 neuropils of a Drosophila brain, we develop a powerful …

tw (code pays fourni par la source)

3 citations Neuroinformatics
Accès ouvert 2020 preprint OpenAlex

Identification of Neuronal Polarity by Node-Based Machine Learning

Chen-Zhi Su, Kuan-Ting Chou, Hsuan-Pei Huang, Chung‐Chuan Lo et autres

Abstract Identifying the directions of signal flows in neural networks is one of the most important stages for understanding the intricate information dynamics of a living brain. Using a dataset of 213 projection neurons distributed in different regions of a Drosophila brain, …

tw (code pays fourni par la source)

1 citation bioRxiv (Cold Spring Harbor Laboratory)
2019 conference-paper OpenAlex

Flyintel – a Platform for Robot Navigation based on a Brain-Inspired Spiking Neural Network

Yao Huang-Yu, Hsuan-Pei Huang, Yu-Chi Huang, Chung‐Chuan Lo

Spiking neural networks (SNN) are regarded by many as the “third generation network” that will solve computation problems in a more biologically realistic way. In our project, we design a robotic platform controlled by a user-defined SNN in order to develop a …

tw (code pays fourni par la source)

4 citations

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