@article {70240, title = {Memory from variability: Heritable short-term cellular memory emerges from stochastic biochemical reaction networks}, journal = {bioRxiv}, year = {2026}, month = {2026 Jan 01}, abstract = {

Cells exhibit a mysterious form of selective heritable short-term memory, influencing outcomes as diverse as cell fate decisions in embryos and environmental responses in cancer cells and bacteria. Here, we present a simple theoretical framework explaining how this selective memory can arise from the reactions regulating molecular levels in cells. Our key insight is that related cells retain more similar molecular concentrations relative to random cells when a greater variance of possible concentration states is created during a single cell generation than is created by cell division across a population. This persistence of molecular similarity down a lineage constitutes a form of heritable short-term memory. We identify the biochemical networks that produce, modify, and degrade molecules as an underexplored source of these additional molecular concentration states. Using experimentally informed simulations, we find that the strength and duration of molecular similarity down a lineage depend on tunable network properties, explaining why some cellular traits persist only briefly while others last generations. These contributions to molecular concentration variance from biochemical reaction networks act in concert with gene expression and other regulatory processes to shape the protein composition of cells. Our framework yields clear, testable predictions for determining how biochemical network architectures drive non-genetic cellular inheritance.

}, doi = {10.64898/2025.12.31.694479}, url = {https://www.biorxiv.org/content/early/2026/01/01/2025.12.31.694479}, author = {Aronson, Mark S. and Zhou, Brian Y. and Fitzgerald, James E. and Sgro, Allyson E.} } @article {69839, title = {Whole-brain, all-optical interrogation of neuronal dynamics underlying gut interoception in zebrafish}, journal = {bioRxiv}, year = {2025}, month = {2025 Mar 30}, abstract = {

Internal signals from the body and external signals from the environment are processed by brain-wide circuits to guide behavior. However, the complete brain-wide circuit activity underlying interoception{\textemdash}the perception of bodily signals{\textemdash}and its interactions with sensorimotor circuits remain unclear due to technical barriers to accessing whole-brain activity at the cellular level during organ physiology perturbations. We developed an all-optical system for whole-brain neuronal imaging in behaving larval zebrafish during optical uncaging of gut-targeted nutrients and visuo-motor stimulation. Widespread neural activity throughout the brain encoded nutrient delivery, unfolding on multiple timescales across many specific peripheral and central regions. Evoked activity depended on delivery location and occurred with amino acids and D-glucose, but not L-glucose. Many gut-sensitive neurons also responded to swimming and visual stimuli, with brainstem areas primarily integrating gut and motor signals and midbrain regions integrating gut and visual signals. This platform links body-brain communication studies to brain-wide neural computation in awake, behaving vertebrates.

}, doi = {10.1101/2025.03.26.645305}, url = {https://www.biorxiv.org/content/early/2025/03/30/2025.03.26.645305}, author = {Chen, Weiyu and James, Ben and Ruetten, Virginia M. S. and Banala, Sambashiva and Wei, Ziqiang and Fleishman, Greg and Rubinov, Mikail and Fishman, Mark C. and Engert, Florian and Lavis, Luke D. and Fitzgerald, James E. and Ahrens, Misha B.} } @article {69660, title = {From the fly connectome to exact ring attractor dynamics}, journal = {bioRxiv}, year = {2024}, month = {2024 Nov 01}, abstract = {

A cognitive compass enabling spatial navigation requires neural representation of heading direction (HD), yet the neural circuit architecture enabling this representation remains unclear. While various network models have been proposed to explain HD systems, these models rely on simplified circuit architectures that are incompatible with empirical observations from connectomes. Here we construct a novel network model for the fruit fly HD system that satisfies both connectome-derived architectural constraints and the functional requirement of continuous heading representation. We characterize an ensemble of continuous attractor networks where compass neurons providing local mutual excitation are coupled to inhibitory neurons. We discover a new mechanism where continuous heading representation emerges from combining symmetric and anti-symmetric activity patterns. Our analysis reveals three distinct realizations of these networks that all match observed compass neuron activity but differ in their predictions for inhibitory neuron activation patterns. Further, we found that deviations from these realizations can be compensated by cell-type-specific rescaling of synaptic weights, which could be potentially achieved through neuromodulation. This framework can be extended to incorporate the complete fly central complex connectome and could reveal principles of neural circuits representing other continuous quantities, such as spatial location, across insects and vertebrates.

}, doi = {10.1101/2024.11.01.621596}, url = {https://doi.org/10.1101/2024.11.01.621596}, author = {Biswas, Tirthabir and Stanoev, Angel and Romani, Sandro and Fitzgerald, James E.} } @article {67828, title = {A brainstem integrator for self-localization and positional homeostasis}, journal = {Cell}, volume = {185}, year = {2022}, month = {2022 Dec 22}, pages = {5011-5027.e20}, abstract = {

To accurately track self-location, animals need to integrate their movements through space. In amniotes, representations of self-location have been found in regions such as the hippocampus. It is unknown whether more ancient brain regions contain such representations and by which pathways they may drive locomotion. Fish displaced by water currents must prevent uncontrolled drift to potentially dangerous areas. We found that larval zebrafish track such movements and can later swim back to their earlier location. Whole-brain functional imaging revealed the circuit enabling this process of positional homeostasis. Position-encoding brainstem neurons integrate optic flow, then bias future swimming to correct for past displacements by modulating inferior olive and cerebellar activity. Manipulation of position-encoding or olivary neurons abolished positional homeostasis or evoked behavior as if animals had experienced positional shifts. These results reveal a multiregional hindbrain circuit in vertebrates for optic flow integration, memory of self-location, and its neural pathway to behavior.Competing Interest StatementThe authors have declared no competing interest.

}, doi = {10.1101/2021.11.26.468907}, url = {https://www.biorxiv.org/content/early/2021/11/27/2021.11.26.468907}, author = {Yang, En and Zwart, Maarten F. and Rubinov, Mikail and James, Benjamin and Wei, Ziqiang and Narayan, Sujatha and Vladimirov, Nikita and Mensh, Brett D. and Fitzgerald, James E. and Ahrens, Misha B.} }