Expertini Research Research

Browse Research Papers

59+ open-access research outputs.

โœ• Clear
๐Ÿ” jun chen ๐Ÿ“‚ Neuroscience
Showing 59 results for "jun chen" in Neuroscience
Neuroscience Preprint PDF DOI

When and Where: A Model Hippocampal Network Unifies Formation of Time Cells and Place Cells

Qiaorong S. Yu, Zhaoze Wang, Vijay Balasubramanian ยท 2026

Hippocampal place and time cells encode spatial and temporal aspects of experience. Both have the same neural substrate, but have been modeled as having different functions and mechanistic origins, plโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Differential Dynamic Causal Nets: Model Construction, Identification and Group Comparisons

Kang You, Gary Green, Jian Zhang ยท 2026

Pathophysiolpgical modelling of brain systems from microscale to macroscale remains difficult in group comparisons partly because of the infeasibility of modelling the interactions of thousands of neuโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Transformers self-organize like newborn visual systems when trained in prenatal worlds

Lalit Pandey, Samantha M. W. Wood, Justin N. Wood ยท 2026

Do transformers learn like brains? A key challenge in addressing this question is that transformers and brains are trained on fundamentally different data. Brains are initially "trained" on prenatal sโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

When sufficiency is insufficient: the functional information bottleneck for identifying probabilistic neural representations

Ishan Kalburge, Mate Lengyel ยท 2025

The neural basis of probabilistic computations remains elusive, even amidst growing evidence that humans and other animals track their uncertainty. Recent work has proposed that probabilistic represenโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

InputDSA: Demixing then Comparing Recurrent and Externally Driven Dynamics

Ann Huang, Mitchell Ostrow, Satpreet H. Singh, Leo Kozachkov, Ila Fiete, Kanaka Rajan ยท 2025

In control problems and basic scientific modeling, it is important to compare observations with dynamical simulations. For example, comparing two neural systems can shed light on the nature of emergenโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Model-Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn't the Right One

Itamar Avitan, Tal Golan ยท 2025

Linearly transforming stimulus representations of deep neural networks yields high-performing models of behavioral and neural responses to complex stimuli. But does the test accuracy of such predictioโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Joint encoding of "what" and "when" predictions through error-modulated plasticity in biologically-plausible spiking networks

Yohei Yamada, Zenas C. Chao ยท 2025

The brain anticipates future events using internal models that specify not only what will occur, but also when it will occur and with what probability. We refer to this joint specification of identityโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

People use fast, flat goal-directed simulation to reason about novel problems

Katherine M. Collins, Cedegao E. Zhang, Lionel Wong, Mauricio Barba da Costa, Graham Todd, Adrian Weller, Samuel J. Cheyette, Thomas L. Griffiths, Joshua B. Tenenbaum ยท 2025

Games have long been a microcosm for studying planning and reasoning in both natural and artificial intelligence, especially with a focus on expert-level or even super-human play. But real life also pโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Evidence of Physiological Co-Modulation During Human-Animal Interaction: A Systematic Review

G. Bargigli, L. Frassineti, A. Lanata', P. Baragli, C. Scopa, A. Vignoli ยท 2025

This review examines the evidence in the literature for physiological co-modulation during human-animal interaction. The aim of this work is to identify studies that assessed co-modulation via simultaโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

A mathematical theory for understanding when abstract representations emerge in neural networks

Bin Wang, W. Jeffrey Johnston, Stefano Fusi ยท 2025

Recent experiments in neuroscience reveal that task-relevant variables are often encoded in approximately orthogonal subspaces of neural population activity. These disentangled, or abstract, representโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Overcoming Output Dimension Collapse: When Sparsity Enables Zero-shot Brain-to-Image Reconstruction at Small Data Scales

Kenya Otsuka, Yoshihiro Nagano, Yukiyasu Kamitani ยท 2025

Advances in brain-to-image reconstruction are enabling us to externalize the subjective visual experiences encoded in the brain as images. A key challenge in this task is data scarcity: a translator tโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Recency effect disappears when information is integrated from independent perceptual sources

Sepide Bagheri, Mehdi Keramati, Reza Ebrahimpour, Sajjad Zabbah ยท 2025

Decision-making often involves integrating discrete pieces of information from distinct sources over time, yet the cognitive mechanisms underlying this integration remain unclear. In this study, we exโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

When neural implant meets multimodal LLM: A dual-loop system for neuromodulation and naturalistic neuralbehavioral research

Edward Hong Wang, Cynthia Xin Wen ยท 2025

We propose a novel dual-loop system that synergistically combines responsive neurostimulation (RNS) implants with artificial intelligence-driven wearable devices for treating post-traumatic stress disโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review

Robin Nolte, Mihai Pomarlan, Ayden Janssen, Daniel Be{ss}ler, Kamyar Javanmardi, Sascha Jongebloed, Robert Porzel, John Bateman, Michael Beetz, Rainer Malaka ยท 2025

Background: Metacognition has gained significant attention for its potential to enhance autonomy and adaptability of artificial agents but remains a fragmented field: diverse theories, terminologies, โ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

A Turing Test for Artificial Nets devoted to model Human Vision

Jorge Vila-Tomas, Pablo Hernandez-Camara, Qiang Li, Valero Laparra, Jesus Malo ยท 2025

In our invited talk at the AI Evaluation Workshop of the University of Bristol back in June 2022 we argued that, despite claims about successful modeling of the visual brain using ANNs, the problem isโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Attention when you need

Lokesh Boominathan, Yizhou Chen, Matthew McGinley, Xaq Pitkow ยท 2025

Being attentive to task-relevant features can improve task performance, but paying attention comes with its own metabolic cost. Therefore, strategic allocation of attention is crucial in performing thโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Overground gait transitions are not sharp but involve gradually changing walk-run mixtures even over long distances

Nicholas S. Baker, Leroy Long, Manoj Srinivasan ยท 2025

Humans typically walk at low speeds and run at higher speeds. Previous studies of transitions between walking and running were mostly on treadmills, but real-world locomotion allows more flexibility. โ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

"What" x "When" working memory representations using Laplace Neural Manifolds

Aakash Sarkar, Chenyu Wang, Shangfu Zuo, Marc W. Howard ยท 2024

Working memory - the ability to remember recent events as they recede continuously into the past - requires the ability to represent any stimulus at any time delay. This property requires neurons codiโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

When a Man Says He Is Pregnant: Event-related Potential Evidence for a Rational Account of Speaker-contextualized Language Comprehension

Hanlin Wu, Zhenguang G. Cai ยท 2024

Spoken language is often, if not always, understood in a context formed by the identity of the speaker. For example, we can easily make sense of an utterance such as "I'm going to have a manicure thisโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Extreme value statistics of nerve transmission delay

Satori Tsuzuki ยท 2024

Nerve transmission delay is an important topic in neuroscience. Spike signals fired or received at the dendrites of a neuron travel from the axon to the presynaptic cell. The spike signal triggers a cโ€ฆ

Read Paper โ†’
Page 1 of 3 Next โ†’