Poster preview
ePoster
CONDUCTANCE-BASED REVERSAL POTENTIALS IN SPIKING RECURRENT NEURAL NETWORKS ENHANCE ENERGY EFFICIENCY AND TASK PERFORMANCE
Miguel Rodriguesand 2 co-authors
Radboud University
FENS Forum 2026 (2026)
Barcelona, Spain
Board PS05-09AM-663
Presentation
Date TBA
Board: PS05-09AM-663
Event Information
Poster Board
PS05-09AM-663
Poster
View posterAbstract
Spiking recurrent neural networks (SRNNs) rival gated RNNs on various tasks, yet they still lack several hallmarks of biological neural networks. We introduce a biologically grounded SRNN that implements Dale’s law with AMPA and GABA voltage reversal potentials. These reversal potentials modulate synaptic gain as a function of the postsynaptic membrane potential, and we derive theoretically how they make each neuron’s effective dynamics and subthreshold resonance input-dependent. We trained SRNNs on the Spiking Heidelberg Digits dataset, and show that SRNN with reversal potentials cuts spike energy by up to 4×, while increasing task accuracy. This leads to high-performing Dalean SRNNs, substantially improving on Dalean networks without reversal potentials. Thus, Dale’s law with reversal potentials, a core feature of biological neural networks, can render SRNNs more accurate and energy-efficient.
Recommended posters
ENERGY RESTRICTION EFFECTS IN A SMALL COMPUTATIONAL MODEL
Matias Urrea, Camilo Jara Do Nascimento, Samuel Madariaga, Pedro Maldonado, Mircea Petrache, Rodrigo Vergara, Christ Devia
COMPARATIVE ANALYSIS OF ARTIFICIAL, SPIKING, AND BIOLOGICAL NEURAL NETWORKS FOR RESERVOIR COMPUTING
Nobuaki Monma, Hideaki Yamamoto, Yuichi Katotri, Satoshi Moriya, Ayumi Hirano-Iwata, Shigeo Sato
EXPLORING ENERGY-EFFICIENCY OF AXONAL SPIKES USING MODELS OF HIPPOCAMPAL MOSSY FIBER
Haruyuki Kamiya, Shunsuke Ohura
SPATIAL SPIKING NEURAL NETWORKS VIA AUTOGRAD-ENABLED EXACT EVENT-GRADIENTS
Lennart Landsmeer, Amirreza Movahedin, Mario Negrello, Said Hamdioui, Christos Strydis
DIRECTLY COUPLING PRESYNAPTIC SHORT-TERM DYNAMICS WITH POSTSYNAPTIC LONG-TERM PLASTICITY SHAPES CONNECTIVITY AND DYNAMICS IN BRAIN NETWORKS
Iiro Ahokainen, Marja-Leena Linne
HINDMARSH–ROSE NEURONAL NETWORK WITH SPIKE-TIMING-DEPENDENT PLASTICITY DEMONSTRATES COORDINATED RESET NEUROMODULATION
Shahin Sharafi, Jesse I. Gilmer, Anthony Y. Lee, Mazen Al Borno, Thomas K. Uchida