Biological underpinnings for lifelong learning machines

D Kudithipudi, M Aguilar-Simon, J Babb… - Nature Machine …, 2022 - nature.com
Biological organisms learn from interactions with their environment throughout their lifetime.
For artificial systems to successfully act and adapt in the real world, it is desirable to similarly …

Shape changing robots: bioinspiration, simulation, and physical realization

D Shah, B Yang, S Kriegman, M Levin… - Advanced …, 2021 - Wiley Online Library
One of the key differentiators between biological and artificial systems is the dynamic
plasticity of living tissues, enabling adaptation to different environmental conditions, tasks, or …

Technological approach to mind everywhere: an experimentally-grounded framework for understanding diverse bodies and minds

M Levin - Frontiers in systems neuroscience, 2022 - frontiersin.org
Synthetic biology and bioengineering provide the opportunity to create novel embodied
cognitive systems (otherwise known as minds) in a very wide variety of chimeric …

On having no head: cognition throughout biological systems

F Baluška, M Levin - Frontiers in psychology, 2016 - frontiersin.org
The central nervous system (CNS) underlies memory, perception, decision-making, and
behavior in numerous organisms. However, neural networks have no monopoly on the …

Bioelectric networks: the cognitive glue enabling evolutionary scaling from physiology to mind

M Levin - Animal Cognition, 2023 - Springer
Each of us made the remarkable journey from mere matter to mind: starting life as a
quiescent oocyte (“just chemistry and physics”), and slowly, gradually, becoming an adult …

Can insects feel pain? A review of the neural and behavioural evidence

M Gibbons, A Crump, M Barrett, S Sarlak, J Birch… - Advances in Insect …, 2022 - Elsevier
The entomology literature has historically suggested insects cannot feel pain, leading to
their exclusion from ethical debates and animal welfare legislation. However, there may be …

The bioelectric code: An ancient computational medium for dynamic control of growth and form

M Levin, CJ Martyniuk - Biosystems, 2018 - Elsevier
What determines large-scale anatomy? DNA does not directly specify geometrical
arrangements of tissues and organs, and a process of encoding and decoding for …

An improved moth-flame optimization algorithm with adaptation mechanism to solve numerical and mechanical engineering problems

MH Nadimi-Shahraki, A Fatahi, H Zamani, S Mirjalili… - Entropy, 2021 - mdpi.com
Moth-flame optimization (MFO) algorithm inspired by the transverse orientation of moths
toward the light source is an effective approach to solve global optimization problems …

Life, death, and self: Fundamental questions of primitive cognition viewed through the lens of body plasticity and synthetic organisms

M Levin - Biochemical and Biophysical Research …, 2021 - Elsevier
Central to the study of cognition is being able to specify the Subject that is making decisions
and owning memories and preferences. However, all real cognitive agents are made of …

Metamorphosis of memory circuits in Drosophila reveals a strategy for evolving a larval brain

JW Truman, J Price, RL Miyares, T Lee - Elife, 2023 - elifesciences.org
Mushroom bodies (MB) of adult Drosophila have a core of thousands of Kenyon neurons;
axons of the early-born g class form a medial lobe and those from later-born α'β'and αβ …