Shih-Chieh Lin

@sclin-lab.bsky.social

Neuroscience Professor @ National Yang Ming Chiao Tung University, Taiwan | NIH alum | neurophysiology | decision making | attention | reward | #BasalForebrain

Our 2nd preprint this week tackles a puzzle in reward prediction: BF bursts are both stable and flexible. Across conditions, neurons preserve relative response amplitudes, yet population burst amplitude scales with reward prediction. How can a circuit do both? bsky.app/profile/bior...

bioRxiv Neuroscience (@biorxiv-neursci.bsky.social)

A dynamical attractor computes reward prediction in the basal forebrain https://www.biorxiv.org/content/10.64898/2026.10.01.755868v1

bsky.app

New preprint from our lab ⚡ Why do DA and BF bursting neurons carry such similar reward-prediction signals? Are they independent, driven by common input, or causally linked? We find a direct answer: DA activity rapidly and causally drives BF. www.biorxiv.org/content/10.6... 1/10

Dopamine neurons drive basal forebrain reward prediction in milliseconds

Phasic reward prediction signals in ventral tegmental area (VTA) dopamine (DA) neurons and basal forebrain (BF) noncholinergic bursting neurons are remarkably similar despite the distinct circuit…

biorxiv.org

Together with this paper by the group of Joe Paton www.nature.com/articles/s41... our results across the two papers complement each other providing strong evidence that distinct dopamine neurons discount future rewards at different rates providing a substrate for multi-timescale RL in the brain

A multidimensional distributional map of future reward in dopamine neurons - Nature

An algorithm called time–magnitude reinforcement learning (TMRL) extends distributional reinforcement learning to take account of reward time and magnitude, and behavioural and neurophysiological...

nature.com

1/7 Our paper on individual variability in decision-making is finally out in @nature.com! Inspired by the classic work by Mante and Sussillo, we trained many rats to solve context-dependent decision-making, and we found that different brains use different neural mechanisms to solve the same task!

Individual variability of neural computations underlying flexible decisions - Nature

Behavioural experiments to study decision-making in response to context-dependent accumulation of evidence provide testable models that are consistent with the heterogeneity in neural signatures among...

nature.com

These essays offer the neuroscience community a place to explore the culture and practice of the field; to debate major questions; to examine the craft of neuroscience; and to trace its evolution over time. Download the book now: www.thetransmitter.org/transmitter-...

The Transmitter books

The Transmitter’s first book, “Thinking about neuroscience: Essays from the field,” features a rich collection of writing from researchers Nicole Rust, Anthony Zador and many more.

thetransmitter.org

Neuroscience students asked us to teach a PRACTICAL course on experimental methods, and it is now on YouTube! Please like and repost to help us get the word out! www.youtube.com/playlist?lis... Lecture 1: Signals and data acquisition Focusing on hardware, digital/analog I/O, synchronization 🧵

Neuroscience methods - YouTube

Nanocourse: Approaches to Study Neural Circuits This course was taught by Anita Autry, Tiago Gonçalves, and Luke Sjulson at Albert Einstein College of Medici...

youtube.com

Just put together the beginnings of a systems & behavior neuro starter pack (focus on rodent work) - obviously a lot of people missing, and most included are in my own little bubble, so if you want to be added do reply here! go.bsky.app/Hxpe53o

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I made a systems neuroscience starter pack, focused on experimentalists who study the brain at the level of populations of neurons! Also want to be on the list? Reply or DM me a picture of your ephys rig or 2p setup and I'll add you 🤭 go.bsky.app/UiqX7ry

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