Edward Smith Deevey Jr. (3 December 1914 – 29 November 1988), born in #AlbanyNewYork, was a prominent American #ecologist and #paleolimnologist, and an early protégé of #GEvelynHutchinson at #YaleUniversity. He was a creative pioneer in several areas, including quantitative #palynology, cycling of natural #isotopes, #biogeochemistry, #populationDynamics, #systematics and #ecology of freshwater #zooplankton, and he promoted the use of life tables in ecology. In 1938.

🧠 New paper by Ishida et al who show how #neurons in the #Drosophila central complex implement vector inversion via #calcium spikes.

A single #NeuronalPopulation can flip the sign of its encoded vector by switching biophysical #spiking modes, enabling coordinate transformations through #PopulationDynamics rather than circuit switching.

Cool as it shows that computation is not imposed by the circuit, but emerges from the neuron’s own dynamics.

🌍https://doi.org/10.1016/j.cell.2025.11.040

#Neuroscience #CompNeuro

RE: https://mastodon.social/@sflorg/115729303412817454

This is an interesting article (linked below) about #biodiversity and #populationdynamics of #microscopic #seafloorfauna elements, and their presumed modes of #dispersal and ability to adapt to far away #ecologically different conditions. It focuses on the nematode genus #Halalaimus.
I want to point out that even terrestrial nematodes are masters of interesting #dispersalstrategies, evolved based on their small sizes and limited distance #mobility.

This text by #StefanFWirth, Berlin, 2025

I wrote a blog post about a lecture introducing stability in ODE models and their numerical solution. The lecture transcript and code for figures are included.

https://nadiah.org/2025/12/04/mxb261

#mathematicalEcology #ODEs #stability #mathematics #lectureNotes #populationDynamics

Lecture notes on stability in the dynamics and Euler’s method

This semester, I had the opportunity to do 7 weeks of “interactive lectures” at QUT for MXB261 Modelling and Simulation Science, as well as one guest lecture on evolutionary game theory. In this blog post, I’ll talk about my experiences, share the first half of one of the lectures I gave, and provide the code, to generate the figures, in case any of that is useful to anyone.

Nadiah Pardede Kristensen

There's a great talk by Juan Gallego on how low-dimensional #NeuralManifolds arise from biological constraints, remain invariant across states and inputs, and support cross-animal alignment. Examples span #HeadDirection rings, #gridcell tori, #MotorCortex prep vs movement, striatal timing dynamics, and C. elegans #behavior loops. Cool talk as it shows how #manifold-level structure can generalize across tasks and organisms.

🌍 https://www.youtube.com/watch?v=oxQyKByqDSU

#CompNeuro #Neuroscience #PopulationDynamics

🧠 New preprint by Tilbury et al: Characterizing #NeuronalPopulation geometry with #AI equation discovery

The approach generates & evaluates 100s of candidate equations, finding "peaky" non-Gaussian tuning functions whose Fourier structure matches power-law dimensionality observed in real #V1 pops. Links shape of single-#neuron tuning to #PopulationLevel geometry using both data fits & analytical derivations.

🌍 https://doi.org/10.1101/2025.11.12.688086

#CompNeuro #Neuroscience #NeuralCoding #PopulationDynamics

🧠 New paper by Safaai et al. (2025): parietal #cortex output populations show highly structured, task-dependent population geometry. Using multi-area recordings and circuit modeling, they show that #parietal populations display organized task-related patterns rather than uniform mixed coding, and that distinct output groups shape how decisions are routed to downstream targets:

🌍 https://doi.org/10.1038/s41593-025-02095-x

#Neuroscience #NeuralCoding #ParietalCortex #PopulationDynamics #DecisionMaking

🧠 New paper by Wimalasena, Pandarinath, AuYong et al: #spinal #interneuron populations form a low-dimensional #manifold that robustly organizes step cycles.

Distinct regions of the manifold mark flexion–extension transitions, and a specific “hold region” tightly controls cycle duration. Deletions emerge as failures to enter the flexor region, giving a dynamical signature of disrupted CPG function.

🌍 https://doi.org/10.1038/s41467-025-64629-y

#Neuroscience #Locomotion #SpinalCord #PopulationDynamics #CompNeuro

🧠 New #preprint by Komi et al. (2025): Neural #manifolds that orchestrate walking and stopping. Using #Neuropixels recordings from the lumbar spinal cord of freely walking rats, they show that #locomotion arises from rotational #PopulationDynamics within a low-dimensional limit-cycle #manifold. When walking stops, the dynamics collapse into a postural manifold of stable fixed points, each encoding a distinct pose.

🌍 https://doi.org/10.1101/2025.11.08.687367

#CompNeuro #NeuralDynamics #Attractor #Neuroscience

🧠 New preprint by Kim et al. (2025) from David Anderson’s lab: A line #attractor maintains aggressiveness during feeding in “hangry” mice 🍔🐁. Using in vivo #CalciumImaging and #rSLDS modeling, they show how moderate fasting stabilizes an aggression-related attractor in #VMHvl, while prolonged fasting collapses it, linking hunger, motivation, and aggression through #PopulationDynamics:

🌍 https://doi.org/10.1101/2025.10.16.682711

#Neuroscience #CompNeuro #Behavior #AttractorDynamics #Hypothalamus #2p #imaging