September 2026 - Comp-neuro - lists.cnsorg.org

Postdoctoral and PhD Positions in Computational Neuroscience & Machine Learning at UCLA

by Marcus Triplett

Dear All, The Triplett Lab at UCLA is recruiting for multiple postdoctoral and PhD positions in computational neuroscience and machine learning. Projects will span two broad areas: - Statistical machine learning methods for neural data analysis, such as inference of neural circuit connectivity and plasticity rules from large-scale imaging, electrophysiology, circuit perturbation, and behavioral data. - Computational models of cognition, including how neural systems form representations of causal structure and use them for decision-making or planning. Projects will combine neural circuit models and interpretability techniques (e.g. dynamical systems analysis) with behavioral and/or intracranial data to identify and test candidate mechanisms. Postdoctoral applicants should have (or expect to soon receive) a PhD in a quantitative field such as Computational Neuroscience, Applied Mathematics, Computer Science, or a related area. Prospective PhD students must first be admitted to an appropriate UCLA graduate program, such as Neuroscience, Computer Science, or Bioengineering. Interested applicants are encouraged to contact Marcus Triplett ( marcustriplett(a)ucla.edu) with a CV and brief description of past and future research interests. For more details visit triplett-lab.org. AA/EOE.

Sept. 2, 2026

Submit to Collection: Computational and Theoretical Approaches to Multi-Scale Dynamics from Cells to Behavior

by DEPANNEMAECKER Damien

Dear All, We invite you to submit your work to "Discover Mental Health" journal: Computational and Theoretical Approaches to Multi-Scale Dynamics from Cells to Behavior https://link.springer.com/collections/iidiiijebb This Collection aims to bring together experimental, computational, and theoretical studies investigating dynamics across biological, cognitive, behavioral, and clinical scales, from cellular processes and neural circuits to whole-brain activity, behavior, and symptom expression. We welcome contributions developing models, analytical frameworks, and data-driven approaches that advance our understanding of multi-scale organization, emergent phenomena, and the transitions between adaptive and maladaptive dynamics from the cellular level to the symptoms level. Particular interest is given to studies exploring how interactions across scales shape the emergence, evolution, and variability of behaviors and symptoms over time. A central goal of this Collection is to advance our understanding of mental health through a multi-scale perspective. We particularly encourage work examining how biological and neural dynamics give rise to symptom trajectories and behavioral changes in conditions such as depression, psychosis, anxiety disorders, and neurodevelopmental disorders. We welcome studies addressing clinically relevant outcomes, including relapse, treatment response, disease progression, resilience, and functional impairment. The Collection welcomes contributions spanning both theoretical advances and empirical applications. Investigations spanning from cells and neuronal circuits to symptom networks are particularly encouraged, including studies linking cellular and circuit-level mechanisms to cognition, behavior, and symptom dynamics across multiple temporal and spatial scales. We also welcome research on emergent maladaptive states in psychiatric disorders, examining how critical transitions, network reorganization, instability, resilience, and other dynamical processes contribute to the onset, persistence, and progression of psychiatric symptoms and behavioral dysfunction. We encourage submissions using a wide range of experimental and computational approaches, including multimodal neuroimaging (EEG, fMRI, MEG, etc) integrated with longitudinal symptom measurements, computational models constrained or validated by clinical trial data, digital phenotyping combined with dynamical systems analyses, ecological momentary assessment, wearable sensing, and other longitudinal behavioral datasets. We also welcome methodological papers introducing novel analytical frameworks for characterizing multi-scale dynamics in mental health. While theoretical contributions are strongly encouraged, submitted models should ideally be connected to empirical observations or generate clear, testable predictions regarding brain function, behavior, or mental health outcomes. We particularly encourage work that bridges theoretical neuroscience, complex systems, and computational psychiatry by integrating mathematical modeling with experimental or clinical data. Finally, this Collection seeks studies with translational potential that contribute to precision psychiatry and personalized mental health care. Examples include computational approaches for patient stratification, prediction of treatment response or relapse, optimization of neuromodulation strategies, development of adaptive digital therapeutics, and identification of biomarkers that capture dynamic processes across biological and behavioral scales. Keywords * * Multi-scale dynamics * Computational psychiatry * Dynamical systems * Complex systems * Symptom dynamics * Computational modeling * Theoretical neuroscience * Digital phenotyping * Precision psychiatry * Emergence

Sept. 2, 2026

Re: 2026 INCTN meeting @ Trieste, Italy - 22-24 Sept - abstract submission deadline approaching

by Eugenio Piasini

Dear all, This is a reminder that the registration deadline for the 2026 meeting of the Italian Network for Computational and Theoretical Neuroscience (INCTN) is approaching. Please register here<https://indico.sissa.it/event/190/> by September 3rd if you are planning to attend! We look forward to seeing you in Trieste! The organisers: Francesca Mastrogiuseppe, Eugenio Piasini, and Sebastian Goldt https://inctn.it/ ________________________________ From: Eugenio Piasini <epiasini(a)sissa.it> Sent: Tuesday, June 30, 2026 14:02 Subject: 2026 INCTN meeting @ Trieste, Italy - 22-24 Sept - abstract submission deadline approaching Dear all, This is a reminder that the abstract submission deadline is approaching for the 2026 meeting of the Italian Network for Computational and Theoretical Neuroscience, which will take place from September 22-24th in Trieste. Submit your abstract by July 10th! We look forward to a great programme with invited and contributed talks on Computational, Theoretical, and Systems Neuroscience, led by keynotes from Máté Lengyel, Sandro Romani, and Fanny Cazettes. We will also have a number of contributed talks and poster sessions to give everybody an opportunity to share their research; and finally, there will be ample time for discussions by the sea side. Please visit our website to see the full lineup of invited speakers and for more information: https://inctn.it/ or register directly here<https://indico.sissa.it/event/190/>. We look forward to seeing you all in Trieste ! The organisers: Francesca Mastrogiuseppe, Eugenio Piasini, and Sebastian Goldt

Sept. 1, 2026