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#mbl

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Teixi

» 1) #MBL Motor Beta Lateralisation consistently reflects the state of an evolving normative #DV Decision Variables

2) #CPP Centroparietal Positivity encodes normative belief updates but not the overall state of DV

3) CPP fluctuations can account for otherwise unexplained... providing a direct link between «

'Dissociable encoding of evolving beliefs and momentary belief updates in distinct neural decision signals'
doi.org/10.1101/2024.05.15.594

#neuroscience #Parés-Pujolràs #SimonKelly #PeterMurphy

bioRxiv · Dissociable encoding of evolving beliefs and momentary belief updates in distinct neural decision signalsMaking accurate decisions in noisy or otherwise uncertain environments requires integrating evidence over time. Using simple tasks requiring rapid evaluation of a stationary sensory feature, two human neurophysiological signals have been found to evolve with similar integration dynamics, with one (centroparietal positivity; CPP) appearing to compute the running integral and continuously feed it to the other (motor beta lateralisation; MBL). However, it remains unknown whether and how these signals serve more distinct functional roles in more complex scenarios where information arrives discontinuously and requires more computational steps to form appropriate belief updates. We employed a volatile expanded judgement task that permits dissociation of the encoding of raw sensory information in each of a series of discrete stimuli (‘objective evidence’), the appropriately transformed belief updates from that information (‘effective evidence’), and the evolving belief itself (accumulated evidence). Whereas MBL traced the evolving belief across stimuli, the CPP was found only to locally encode the effective evidence associated with each individual stimulus. Furthermore, fluctuations in CPP amplitude after each single stimulus could account for variability in the encoding of accumulated evidence in MBL. These results suggest a flexible computational hierarchy in which effective evidence can be computed sample-by-sample at an intermediate processing level to drive downstream belief updates for protracted decisions about discrete stimuli. ### Competing Interest Statement The authors have declared no competing interest.
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O Delator Premiado

Kim Kataguiri do MBL, agitadores fascistas vendidos ao Tio Sam, chamou Thiago dos Reis de Plantão Brasil de Kim Kataguiri comunista, citando um assassinato de carácter mentiroso no Estadão Antidemocŕatica da Extrema-Direita e O Goebbels.

O inquérito das Milicias Digitais vai explodir logo logo.

Nos comentparios vou postar a capivara do MBL, maior fábrica de desinfomação de América Latina, só desde 2018.

#brasil#mbl#fakenews
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Albert Cardona

From Jan Funke:

How can machine learning help you to analyze your microscopy images?

Find out at the "Deep Learning for Microscopy Image Analysis" course at the #MBL in Woods Hole from Aug 21-Sep 5!

Applications are due April 17.

mbl.edu/education/advanced-res

Directed by Jan Funke, Anna Kreshuk and Shalin Mehta, and including Carsen Stringer @computingnature, Florian Jug @florianjug, Martin Weigert, @martinweigert, Virginie Uhlmann @vuhlmann, Alexander Krull, Loïc A. Royer as faculty.

#SummerSchool #academia #WoodsHole #BioimageInformatics

Marine Biological LaboratoryDL@MBL: Deep Learning for Microscopy Image Analysis | Marine Biological LaboratoryThe goal of this course is to familiarize researchers in the life sciences with state-of-the-art deep learning techniques for microscopy image analysis and to introduce them to tools and frameworks that facilitate independent application of the learned material after the course.
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jonny (good kind)

@kordinglab @PessoaBrain oh boy I've got to read both pieces because I don't know how one would argue about the existence and importance of switching networks. They also don't seem at all at odds with modular networks.

Work from the extended Eve Marder universe on the Crab #STG, #Neuromodulation, and #ContextualModulation as always is useful here: In a network of just 40-ish neurons, there are clear sub circuits with clearly defined computations with cells with well defined roles. There are also neurons that belong to multiple circuits, linking them together and qualitatively changing both their and the jointly-defined circuits behavior per neuromodulation, longer timescale circuit rhythms, and behavioral/organismal context. It seems extremely unlikely to me that this is a byproduct of the particular ganglion, by far the more parsimonious interpretation is that this is fundamental to how densely connected excitable dynamical systems with diverse functional requirements work - the combinatoric computational benefits are obvious, and the empirical fact of their existence is impossible to deny.

Haven't read the piece(s) yet and would be surprised if they didn't mention this work. Can pull citations and more detailed argument when at computer. it hardly makes me an expert but Lauren Hewitt and I did a project on this at the #MBL with some #DynanicClamp #EPhys , so I already have the argument organized.

Public
Alexander Hay

This #SwampSunday, it's worth remembering that marshes play an important role in regulating #greenhouse gasses and so slowing or preventing #climatechange.

But when temperatures go up, low-lying marshes start emitting more carbon. The hotter it gets, the more marshes release Co2.

#environment #ecology #CapeCod #MBL

phys.org/news/2022-12-temperat

Phys.orgAs temperatures rise, low marsh emits more carbon gas than high marshBy Stephanie M. McPherson
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