Gabriele Scheler: From Verbal Thought to Neuron Computation | Brain Inspired

Gabriele Scheler co-founded the Carl Correns Foundation for Mathematical Biology. Carl Correns was her great grandfather, one of the early pioneers in genetics. Gabriele is a computational neuroscientist, whose goal is to build models of cellular computation, and much of her focus is on neurons.
We discuss her theoretical work building a new kind of single neuron model. She, like Dmitri Chklovskii a few episodes ago, believes we’ve been stuck with essentially the same family of models for a neuron for a long time, despite minor variations on those models. The model Gabriele is working on, for example, respects the computations going on not only externally, via spiking, which has been the only game in town forever, but also the computations going on within the cell itself. Gabriele is in line with previous guests like Randy Gallistel, David Glanzman, and Hessam Akhlaghpour, who argue that we need to pay attention to how neurons are computing various things internally and how that affects our cognition. Gabriele also believes the new neuron model she’s developing will improve AI, drastically simplifying the models by providing them with smarter neurons, essentially.
We also discuss the importance of neuromodulation, her interest in wanting to understand how we think via our internal verbal monologue, her lifelong interest in language in general, what she thinks about LLMs, why she decided to start her own foundation to fund her science, what that experience has been like so far. Gabriele has been working on these topics for many years, and as you’ll hear in a moment, she was there when computational neuroscience was just starting to pop up in a few places, when it was a nascent field, unlike its current ubiquity in neuroscience.
Listen at: braininspired.co

Spatial econometrics to estimate traffic reduction by transforming office space into housing and other land uses: The case for Barcelona

Javier Argota Sánchez-Vaquerizo, Dirk Helbing

Cities Volume 162, July 2025, 105901

Origin-destination (OD) matrices are essential for the analysis, planning, and simulation of urban areas, infrastructure, and transportation systems. However, they are often costly and time-consuming to determine, which reduces their potential use for informed decision-making and planning in cities. This research introduces a novel spatial econometric method that considers spatial spillover effects of socio-demographic, land use, and topological variables to directly estimate traffic OD flows between zones of the Metropolitan Area of Barcelona. Employing a two-part Hurdle model with gradient boosting (XGBoost), our approach achieves low error rates (MAE = 6.109, RMSE = 98.774), comparable to other established models also analyzed, but the proposed method’s simplicity facilitates its practical application in urban planning and policy-making. This is illustrated by applying the proposed model to predict changes in vehicle flows resulting from the conversion of offices into other urban uses such as housing, commerce, education, or storage. Despite the related population increase, we expect a reduction in vehicle trips by up to 10 % even with limited spatial interventions. Our findings suggest the model’s power to assess urban trends and policies, particularly in considering teleworking expansion, housing shortages, and contemporary planning practices promoting alternative mobility modes and densification. This research underscores the dual benefits of methodological innovation and practical policy application, marking a significant advancement in urban planning.

Read the full article at: www.sciencedirect.com

Engineering a swarm – with Sabine Hauert

Swarms in nature, including birds, social insects and cells, coordinate in huge numbers to achieve common goals. Their behaviours are self-organised, emerging from the interactions of every agent with their local environment. For the past 20 years, swarm robotics has taken inspiration from nature to make large numbers of robots work together to achieve common goals. With progress in swarm hardware and AI, the field is now ready to translate these swarms from laboratory to application. Join swarm engineering expert Sabine Hauert as she explores the mechanisms to make ‘swarms for people’, in applications ranging from nanomedicine to environmental monitoring and logistics. The next step is to make swarms easy to design, deploy, monitor, control, and validate towards making swarms that are, and should, be trusted. — Sabine Hauert is Professor of Swarm Engineering at University of Bristol. She leads a team of 20 researchers working on making swarms for people, and across scales, from nanorobots for cancer treatment, to larger robots for environmental monitoring, or logistics (https://hauertlab.com/). Before joining the University of Bristol, Sabine engineered swarms of nanoparticles for cancer treatment at MIT, and deployed swarms of flying robots at EPFL. She is on the board of directors of the Open Source Robotics Foundation and is Executive Trustee of non-profits robohub.org and aihub.org, which connect the robotics and AI communities to the public.

Watch at: www.youtube.com

The Hidden Order of Life: How Nature Breaks Symmetry with Nikta Fakhri


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Living systems are in constant motion, from the inner workings of our cells to the synchronized movements of bird flocks. What sets these systems apart is that they are powered by tiny, energy-consuming components that generate their own movement and forces. In this talk, I’ll uncover the hidden rules that govern this dynamic behavior and explore how breaking certain physical symmetries, like the familiar flow of time, allows life to organize itself in unexpected ways. I will show how these discoveries help us understand the intricate patterns inside cells, reveal surprising new properties of living materials, and offer a fresh perspective on the physics that shapes the natural world around us.

Nikta Fakhri is an associate Professor in the Department of Physics at MIT and Physics of Living Systems Group. She completed her undergraduate degree at Sharif University of Technology in Tehran, Iran and her PhD at Rice University, Houston, TX. She was a Human Frontier Science Program postdoctoral fellow at Georg-August-Universität in Göttingen, Germany before joining MIT. Nikta is an Alfred P. Sloan Research Fellow in Physics. She is the recipient of the 2018 IUPAP Young Scientist Prize in Biological Physics, the 2019 NSF CAREER Award, and the 2022 American Physical Society Early Career Award in Soft Matter Research.

Watch at: www.youtube.com