316 citations · 2.3k across the 42 of their papers we have counts for
42 papers
An all-transistor physical-learning transformer can be trained to perform in-context learning
Michael C. Abbott, Benjamin B. Machta
Most systems trained by equilibrium propagation or coupled learning are in the same class as multi-layer perceptrons: while they may be universal function approximators, they strug…
On the Information Required for Feedback Control
Matthew P. Leighton, Jose M. Betancourt, Thierry Emonet +2
Biological systems across scales, along with many engineering problems, must control noisy systems with limited information. Here we study information-limited feedback control of s…
Thermal fluctuations set fundamental limits on ion channel function
Jose M. Betancourt, Benjamin B. Machta
Voltage-gated ion channels are essential for propagating signals in neurons. Each channel senses the local membrane potential created by nearby ions. Fluctuations in these ions int…
In-vivo entropy production of A. subaru
Yu Fu, Emmy Dobson, Benjamin B. Machta +1
Entropy production is often used as a proxy for energy consumption of a non-equilibrium system. Lower bounds can be estimated from coarse-grained observations, and this has been do…
On the Analytic Origin of Two Species of Cochlear Eigenmodes
Asheesh S. Momi, Isabella R. Graf, Michael C. Abbott +1
After entering the ear, sound waves propagate as surface waves along the cochlea's basilar membrane. In recent work, we showed numerically that the system supports two types of mod…
Discrete turn strategies emerge in information-limited navigation
Jose M. Betancourt, Matthew P. Leighton, Thierry Emonet +2
Navigation up a smooth sensory gradient is one of the simplest behavioural tasks, and some organisms solve it by making continuous adjustments to their course. Bacteria instead emp…