Melissa Franch, PhD

@mfranch.bsky.social

Postdoc in the Hayden lab at Baylor College of Medicine studying neural computations of natural language & communication in humans. Sister to someone with autism. F32 NIDCD Fellow | Autism Research Institute funded | Simons F2F | she/her. melissafranch.com

This project is one of our greatest undertakings as a lab, with Calli at the helm (in terms of data collection, transcription of speech features during naturalistic dialogue, and computational modeling), and we're excited to get everyone's feedback!

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I'm over the moon to be recognized for my future plans in (and lifelong commitment to) autism neuroscience research through earning the Simons Foundation Fellows To Faculty award! I can't wait to dive into this work alongside this community✨🥹

Simons Foundation@simonsfoundation.org · 5d ago

We're pleased to announce the 2026 class of our Fellows-to-Faculty program! This fellowship supports talented early-career scientists and their research visions as they transition into tenure-track faculty positions in autism and #neuroscience research. See the new class: https://bit.ly/4yXUjrd

New paper alert from our lab! nature.com/articles/s41... We used stimuli sequences following 1/f statistical patterns—an ubiquitous statistical structure in natural stimuli—to probe predictive processing in the human brain. How does the brain predict upcoming sensory inputs based on past inputs?

Neural mechanisms of time-forward predictions for naturalistic auditory tone sequences - Nature Communications

A longstanding question is how the brain predicts complex, naturalistic sensory events and updates those predictions when expectations are violated. Using intracranial recordings, the authors show tha...

nature.com

Our new preprint is out!! The human brain runs on ~20 watts. Computers and modern AI systems require vastly higher energy. This gap raises a fundamental question: how does the brain compute so efficiently? In our new study, we take a critical step toward measuring and understanding this directly 1/3

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · last mo.

Learning Shapes the Energy Cost of Neural Tasks https://www.biorxiv.org/content/10.64898/2026.07.01.735889v1

Some neurons like to ride on slow LFP oscillations, regardless of their phase! This might represent a mechanism to coordinate neural activity and propagate information across brain circuits 🧠 amazing collaboration led by the super talented @zahrajourahmad.bsky.social and Andrew Watrous!

PLOS Biology@plosbiology.org · last mo.

Do #neurons show preferential firing at specific oscillatory frequencies? @elebartoli.bsky.social &co use recordings from neurosurgical patients to show that freq of oscillations modulates neuronal firing; implications for freq-targeted #NeuralStimulation @plosbiology.org 🧪 plos.io/44odgVM

Jourahmad et al. investigate how single-unit activity (SUA) relates to nearby local field potentials (LFP) in humans. The figure shows real data from a neuron exhibiting increased firing during low-frequency oscillations, illustrating frequency-specific tuning independent of phase.

Many of the scientific questions we're interested in tackling require studying learning over long periods of time across the brain. This is challenging – which is why we're excited to say we've been developing a system for chronic wireless recording using long Neuropixels probes in macaque monkeys.

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Info. processing, memory, adaptive decisions.. none of it fully captures what makes us intelligent *beings* with subjective experience. @meganakpeters.bsky.social thinks hard about that gap and how to formalize that in theory & expmt. And she somehow found time to co-build @neuromatch.bsky.social 🤩

Stories of WiN@storiesofwin.bsky.social · 2mo ago

Check out our latest profile! Dr. Megan Peters (@meganakpeters.bsky.social) studies how the brain represents & uses uncertainty and she also co-founded the online summer school, Neuromatch Academy. Learn more at the link below! #WomenInNeuroscience #StoriesOfWiN www.storiesofwin.org/profiles/202...

“…the binding problem may be an artifact of theoretical assumptions rather than a real computational challenge for the brain…we propose a framework where the visual cortex represents naturally co-occurring patterns of information rather than processing isolated features that need binding.”

Natalie Christie Peluso 🧠@nataliepeluso.com · 4mo ago

Beyond binding: from modular to natural vision: Trends in Cognitive Sciences www.cell.com/trends/cogni... #neuroskyence #visionscience

Check out our new profile! Dr. Anila D'Mello (@aniladmello.bsky.social) studies language and cognition, and how the underlying brain circuits are altered in neurodevelopmental disorders. Follow the link below to learn more! #WomenInNeuroscience #StoriesOfWiN www.storiesofwin.org/profiles/202...

Dr. Anila D'Mello — Stories of WiN

studies language and cognition, and how the underlying brain circuits are altered in neurodevelopmental disorders

storiesofwin.org