58 citations · 394 across the 35 of their papers we have counts for
3 papers · 1 filter
Understanding Predictive Coding as an Adaptive Trust-Region Method
Francesco Innocenti, Ryan Singh, Christopher L. Buckley
Predictive coding (PC) is a brain-inspired local learning algorithm that has recently been suggested to provide advantages over backpropagation (BP) in biologically relevant scenar…
Neural Kalman Filtering
Beren Millidge, Alexander Tschantz, Anil Seth +1
The Kalman filter is a fundamental filtering algorithm that fuses noisy sensory data, a previous state estimate, and a dynamics model to produce a principled estimate of the curren…
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain
Beren Millidge, Alexander Tschantz, Anil K Seth +1
The backpropagation of error algorithm (backprop) has been instrumental in the recent success of deep learning. However, a key question remains as to whether backprop can be formul…