Expertini Research Research

Browse Research Papers

25+ open-access research outputs.

โœ• Clear
๐Ÿ” jun yang ๐Ÿ“‚ Neuroscience
Showing 25 results for "jun yang" in Neuroscience
Neuroscience Preprint PDF DOI

How 'Neural' is a Neural Foundation Model?

Johannes Bertram, Luciano Dyballa, Anderson Keller, Savik Kinger, Steven W. Zucker ยท 2026

Foundation models have shown remarkable success in fitting biological visual systems; however, their black-box nature inherently limits their utility for understanding brain function. Here, we peek inโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Manifolds and Modules: How Function Develops in a Neural Foundation Model

Johannes Bertram, Luciano Dyballa, T. Anderson Keller, Savik Kinger, Steven W. Zucker ยท 2025

Foundation models have shown remarkable success in fitting biological visual systems; however, their black-box nature inherently limits their utility for understanding brain function. Here, we peek inโ€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

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

Language learning shapes visual category-selectivity in deep neural networks

Zitong Lu, Yuxin Wang ยท 2025

Category-selective regions in the human brain-such as the fusiform face area (FFA), extrastriate body area (EBA), parahippocampal place area (PPA), and visual word form area (VWFA)-support high-level 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

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

An introduction to reinforcement learning for neuroscience

Kristopher T. Jensen ยท 2023

Reinforcement learning (RL) has a rich history in neuroscience, from early work on dopamine as a reward prediction error signal (Schultz et al., 1997) to recent work proposing that the brain could impโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Nondistributivity of human logic and violation of response replicability effect in cognitive psychology

Masanao Ozawa, Andrei Khrennikov ยท 2022

The aim of this paper is to promote quantum logic as one of the basic tools for analyzing human reasoning. We compare it with classical (Boolean) logic and highlight the role of violation of the distrโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Winning the lottery with neural connectivity constraints: faster learning across cognitive tasks with spatially constrained sparse RNNs

Mikail Khona, Sarthak Chandra, Joy J. Ma, Ila Fiete ยท 2022

Recurrent neural networks (RNNs) are often used to model circuits in the brain, and can solve a variety of difficult computational problems requiring memory, error-correction, or selection [Hopfield, โ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Interval Timing: Modeling the break-run-break pattern using start/stop threshold-less drift-diffusion model

Jason Zwicker, Francois Rivest ยท 2021

Animal interval timing is often studied through the peak interval (PI) procedure. In this procedure, the animal is rewarded for the first response after a fixed delay from the stimulus onset, but on sโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Simultaneous Confidence Corridors for neuroimaging data analysis: applications to Alzheimer's Disease diagnosis

Juan A. Arias, Carmen Cadarso-Suarez, Pablo Aguiar-Fernandez ยท 2021

Alzheimer's disease (AD) is a chronic neurodegenerative condition responsible for most cases of dementia and considered as one of the greatest challenges for neuroscience in this century. Early Ad sigโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Modeling combination of question order effect, response replicability effect, and QQ-equality with quantum instruments

Masanao Ozawa, Andrei Khrennikov ยท 2020

We continue to analyze basic constraints on the human decision making from the viewpoint of quantum measurement theory (QMT). As it has been found, the conventional QMT based on the projection postulaโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks

Timo C. Wunderlich, Christian Pehle ยท 2020

Spiking neural networks combine analog computation with event-based communication using discrete spikes. While the impressive advances of deep learning are enabled by training non-spiking artificial nโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

A multiple timescales approach to bridging spiking- and population-level dynamics

Youngmin Park, G. Bard Ermentrout ยท 2018

A rigorous bridge between spiking-level and macroscopic quantities is an on-going and well-developed story for asynchronously firing neurons, but focus has shifted to include neural populations exhibiโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Auditory Brainstem Response in Infants and Children with Autism: A Meta-Analysis

Oren Miron, Andrew L. Beam, Isaac S. Kohane ยท 2017

Infants with autism were recently found to have prolonged Auditory Brainstem Response (ABR); however, at older ages, findings are contradictory. We compared ABR differences between participants with aโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Vocabulary and the Brain: Evidence from Neuroimaging Studies

Tom A. F. Anderson, C.-H. Ruan ยท 2016

In summary of the research findings presented in this paper, various brain regions are correlated with vocabulary and vocabulary acquisition. Semantic associations for vocabulary seem to be located neโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Eye-Movement Control During the Reading of Chinese: An Analysis Using the Landolt-C Paradigm

Yanping Liu, Erik D. Reichle, Ren Huang ยท 2015

Participants in an eye-movement experiment performed a modified version of the Landolt-C paradigm (Williams & Pollatsek, 2007) in which they searched for target squares embedded in linear arrays of spโ€ฆ

Read Paper โ†’
Neuroscience Preprint PDF DOI

Computational Modeling of Channelrhodopsin-2 Photocurrent Characteristics in Relation to Neural Signaling

Roxana A. Stefanescu, R.G. Shivakeshavan, Pramod P. Khargonekar, Sachin S. Talathi ยท 2013

Channelrhodopsins-2 (ChR2) are a class of light sensitive proteins that offer the ability to use light stimulation to regulate neural activity with millisecond precision. In order to address the limitโ€ฆ

Read Paper โ†’
Page 1 of 2 Next โ†’