Felix Taschbach profile
Felix
Taschbach

Biography

I am currently a PhD candidate in the Biological Sciences Program at UCSD, where I work with Prof. Marcus Benna. I received my MSc in Systems Biology at Maastricht University and completed my master thesis on computational neuroscience in the lab of Stefano Fusi at Columbia University.

My research focuses on developing computational methods for cross-subject neural data analysis. I am interested in identifying shared neural structure across individuals while preserving meaningful individual variability. To this end, I developed ShaReD (Shared Representation Discovery), a behavior-supervised method for aligning neural population activity across subjects.

News

  • [Aug. 2025] Received the Ray Thomas Edwards Award for Research Excellence from the UCSD Department of Biological Sciences.
  • [May. 2025] Mario Aguilera was kind to write a short write-up about the recent paper for UCSD Today.
  • [May. 2025] Paper in collaboration with the phenomenal Assaf Ramot has published in Nature.
  • [2025] Paper with Reesha Patel accepted at Nature Neuroscience.
  • [Jul. 2024] Published review on mixed selectivity in Neuron with Stefano Fusi.
  • [Jul. 2023] I advanced to PhD candidacy.
  • [Oct. 2022] Paper with Fergil Mills uploaded to bioRxiv.

Teaching

  • Cellular Biology — UCSD, Fall 2025
  • Neural Data Science — UCSD, Winter 2025
  • Bioinformatics Laboratory — UCSD, Spring 2023
  • Python for Biologists — UCSD, Winter 2023
  • Computational Neuroscience — Neuromatch Academy, Summer 2022
  • Computational Models of the Brain — UCSD, Spring 2022
  • Imperative Programming — Maastricht University, Spring 2017
  • Introduction to Programming — Maastricht University, Fall 2016

Conferences

  • [SfN 2025] Identifying motor representations that robustly generalize across subjects and behavioral contexts.
  • [CoSyNe 2025] Co-organized workshop: "What makes us unique: Deconstructing the sources of individual differences."
  • [SfN & FENS 2024] Shared Representation Discovery for Multimodal Datasets.
  • [Salk Retreat 2024] Oral presentation: Unbiased discovery of interpretable shared representations.
  • [SfN 2023] Acute and chronic social isolation promote diverse behavior repertoires and differentially modify mPFC responses to social contact.
  • [Salk Retreat 2023] Poster: Unbiased discovery of interpretable shared representations.
  • [SfN 2022] Functional characterization of input-defined neurons within the primary motor cortex during motor learning.
  • [CCN 2019] Abstract representations of space in the mouse dentate gyrus.

Awards

  • Ray Thomas Edwards Award — UCSD Department of Biological Sciences, 2025
  • MaCSBio Thesis Award — Maastricht Centre for Systems Biology, 2019

Mentoring

  • BUMMP — Undergraduate and Master's mentorship program, UCSD, 2023–present
  • Heithoff-Brody Summer Scholars — High school mentor, Salk Institute, 2024
  • Graduate Research Mentor — Visiting master student in computational neuroscience, 2022–2023
Selected publications
Neural mixed selectivity diagram
Neuron
2024

Mixed selectivity: Cellular computations for complexity

Neurons with nonlinear mixed selectivity create high-dimensional representations that give downstream readouts enormous flexibility. We review the biological mechanisms, including oscillations and neuromodulation, that gate which variables are mixed and transmitted.

Motor learning refines thalamic influence on motor cortex

Assaf Ramot & Felix Taschbach et al.

Longitudinal imaging of thalamic axons in M1 shows that motor learning reorganizes which cortical neurons the thalamus drives, shifting its influence toward the neurons that encode learned movements. Inactivating these thalamic inputs in expert mice impairs the learned movements.

Nature2025Read more →

Amygdalostriatal transition zone neurons encode sustained valence to direct conditioned behaviors

Fergil Mills et al.

The amygdalostriatal transition zone (ASt) contains sparse, high signal-to-noise neurons that maintain sustained responses to negative valence stimuli throughout defensive behavior. Photostimulation of ASt drives freezing and avoidance; inhibiting its Drd2+ neurons reduces conditioned fear.

Preprint2022Read more →

Social isolation recruits amygdala-cortical circuitry to escalate alcohol drinking

Reesha Patel et al.

Social rank predicts alcohol consumption in mice, with subordinates drinking more than dominants. Social isolation escalates drinking through a BLA-mPFC circuit that becomes hyperexcitable; optogenetically inhibiting this circuit after isolation reduces alcohol intake.

Accepted in principle2023Read more →

Social exclusion amplifies behavioral responses to physical pain via insular neuromodulation

Kay Tye et al.

Social exclusion increases sensitivity to physical pain. Blocking oxytocin signaling in the insula replicates this effect, suggesting social exclusion alters pain perception through insular neuromodulation.

Preprint2025Read more →

Cortical ensembles orchestrate social competition through hypothalamic outputs

Padilla-Coreano & Batra et al.

mPFC population dynamics predict social rank and competitive outcomes in mice. The mPFC exerts top-down control over dominance behavior through projections to the lateral hypothalamus, establishing a cortico-hypothalamic circuit for social competition.

Nature2022Read more →
Research notes

Preferential Subspace Identification

Dimensionality Reduction

Recovering latent dynamics from neural recordings and separating behaviorally relevant from irrelevant structure, derived from scratch.

March 2026Read more →