Santosh Manicka @SantoshManicka
Complexicist working on minimal (and mesomal) modeling and analysis of biological systems. A research affiliate currently working with Michael Levin at Tufts. tufts.academia.edu/SantoshManicka Boston, MA Joined April 2018-
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Dynamics of decomposed information flow
A review of criticality in the brain, as characterized by its hallmark features, namely, scale invariance, marginal stability, tunability, and generative capacity, and its implications.
A review of criticality in the brain, as characterized by its hallmark features, namely, scale invariance, marginal stability, tunability, and generative capacity, and its implications.
So far, there was only one way to define a prime number (textbook defn). Now there are infinite ways to do it. It's as if every (finite) prime number has an infinite set of dimensions, each casting its own unique shadow. How mind-boggling is that! scientificamerican.com/article/mathem…
Simplicity may be sufficient to generate complexity (e.g., cellular automata), but complexity may sometimes require underlying complexity (e.g., complex disease traits)
Simplicity may be sufficient to generate complexity (e.g., cellular automata), but complexity may sometimes require underlying complexity (e.g., complex disease traits)
"Biological Processes as Exploratory Dynamics" (by Jane Kondev, Marc Kirschner, Hernan G. Garcia, Gabriel L. Salmon, Rob Phillips): arxiv.org/abs/2506.04104
Could the prefrontal cortex serve as RAM or a Turing tape for neural activity (though perhaps in a limited sense)? At the same time, potentially playing other compartmentalized roles of a traditional computer?
Could the prefrontal cortex serve as RAM or a Turing tape for neural activity (though perhaps in a limited sense)? At the same time, potentially playing other compartmentalized roles of a traditional computer?
PLOS Comput. Biol.: Complexity reduction by symmetry: Uncovering the minimal regulatory network for logical computation in bacteria journals.plos.org/ploscompbiol/a…
We introduce EngramNCA, a Neural Cellular Automaton (NCA) framework designed to investigate memory storage beyond traditional synaptic models. Web preprint: etimush.github.io/EngramNCA/ Arxiv preprint: arxiv.org/abs/2504.11855 #NeuroAI #ArtificialLife #NCA #ComplexSystems
Nature versus nurture at the cellular level: quantamagazine.org/how-metabolism….
'Particle' based information integration was the norm in RNNs. And now we have wave-based approaches. What's next? Dual wave-particle?
'Particle' based information integration was the norm in RNNs. And now we have wave-based approaches. What's next? Dual wave-particle?
pleased to share 'DiffLogic CA', made of the finest blend of NCA and binary-gate circuits! adopting @FHKPetersen's differentiable circuit learning, we learn *stateful* circuits, recurrent in space & time. by @PietroMiotti, me, @zzznah, @RandazzoEttore 1/5 google-research.github.io/self-organisin…
What if LLM is combined with imagery and the loop is closed? Would it then constitute ‘understanding’? Some of Richard Feynman’s thoughts here made me ask these questions: youtu.be/Si6NbKqYEd8?si…
An effusive (not diffusive) electrostatic field can facilitate voltage patterning in bioelectric nets by employing mechanisms akin to Hermann Haken's "synergetics". A bulk face pattern was developed via field stimulation of just the boundary of the tissue! osf.io/preprints/osf/…
An effusive (not diffusive) electrostatic field can facilitate voltage patterning in bioelectric nets by employing mechanisms akin to Hermann Haken's "synergetics". A bulk face pattern was developed via field stimulation of just the boundary of the tissue! osf.io/preprints/osf/…
Cell "type" in reality is probabilistic, overlapping and messy, defying categorization with neat boundaries.

Michael Levin @drmichaellevin
64K Followers 3K Following Scientist at Tufts University; my lab studies anatomical and behavioral decision-making at multiple scales of biological, artificial, and hybrid systems.
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Maxwell Ramstead @mjdramstead
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