Adaptive Deep Brain Stimulation

Follow this topic Ask about this topic

Momentum

1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Jul 6Week of Sep 21

Latest papers 11

All topics

Position Paper: Neurotransmitters as a Missing Dimension in Artificial Neural Networks
Sep 17, 2026Yupei Li, Manuel Milling, Berrak Sisman +1Adaptive Deep Brain Stimulation Synaptic Plasticity
Department of Computing and Chair of Health Informatics Imperial College London and Technical University of Munich London and Munich, United Kingdom and Germany · Chair of Health Informatics Technical University of Munich Munich, Germany · Department of Electrical and Computer Engineering Johns Hopkins Whiting School of Engineering Baltimore, United States +1
NeuMoSync: End-to-End Neuromodulatory Control for Plasticity and Adaptability in Continual Learning
Aug 5, 2026Seyed Roozbeh Razavi Rohani, Khashayar Khajavi, Wesley Chung +2Replay-Based Continual Learning Plasticity
Department of Computer Science Simon Fraser University · Department of Computer Science McGill Univeristy, Mila - Quebec AI Institute
Neuromorphic Silicon Neuron Controller for Adaptive Deep Brain Stimulation in Parkinson's Disease
Jul 5, 2026Md Abu Bakr Siddique, Jakub Orłowski, Yan Zhang +1Adaptive Deep Brain Stimulation Neuromorphic Computing
Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, Michigan, USA · School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland · Department of Biological Sciences, Michigan Technological University, Houghton, Michigan, USA
Neuromorphic Energy-Aware Learning for Adaptive Deep Brain Stimulation
Jun 26, 2026Binh Nguyen, Colleen Josephson, Mircea Teodorescu +2Adaptive Deep Brain Stimulation Neuromorphic Computing
Dept. of Electrical and Computer Engineering, University of California, Santa Cruz, CA, USA · Dept. of Bioengineering, University of California, San Diego, La Jolla, CA, USA
From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks
Jun 20, 2026Sepideh Kheirollahi, Mohammad Rasoul RoshanshahSeizure Detection Electroencephalography
School of Electrical and Computer Engineering College of Engineering, University of Tehran Tehran, Iran
Literature-Guided Minimax Optimization of Virtual Epilepsy Neurostimulation
Jun 3, 2026Cathy LiuAdaptive Deep Brain Stimulation Seizure Detection
Cathy Liu
The Sensation Modulating Network:Haltability as the architectural ground for object-directed phenomenology
May 26, 2026G. Nagarjuna, Durgaprasad KarnamCognitive Science Adaptive Deep Brain Stimulation
Indian Institute of Science Education and Research (IISER) Pune, India · Centre for Educational Technology (CET), Indian Institute of Technology Bombay, India
Targeted Neuron Modulation via Contrastive Pair Search
May 12, 2026Sam Herring, Jake Naviasky, Karan MalhotraLinear Activation Steering Instruction-Tuned Models
Nous Research
Improving TMS EEG Signal Quality for Closed-Loop Neuro Stimulation via Source-Domain Denoising
May 5, 2026Zhen Tang, Ameer Hamoodi, Stevie Foglia +2Electroencephalography Brain-Computer Interface
Department of Kinesiology, Faculty of Science, McMaster University, Canada · Faculty of Engineering, McMaster University
NeuroAI and Beyond: Bridging Between Advances in Neuroscience and Artificial Intelligence
Apr 19, 2026Anthony Zador, Jean-Marc Fellous, Terrence Sejnowski +28Neuroscience Adaptive Deep Brain Stimulation
Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA. · Institute for Neural Computation, UC San Diego, La Jolla, CA, USA. · Mathematics Department, Kalaheo High School, Kailua, HI, USA. +23
Improving the adaptive and continuous learning capabilities of artificial neural networks: Lessons from multi-neuromodulatory dynamics
Jan 12, 2025Jie Mei, Alejandro Rodriguez-Garcia, Daigo Takeuchi +4Adaptive Deep Brain Stimulation Neural Network
IT:U Interdisciplinary Transformation University Austria, Linz, Austria · International Research Center for Neurointelligence, The University of Tokyo, Tokyo, Japan · Department of Anatomy, University of Quebec in Trois-Rivieres, Trois-Rivieres, QC, Canada +8

Sep 17, 2026, cs.NEJ/K move · Enter open · S save

Position Paper: Neurotransmitters as a Missing Dimension in Artificial Neural Networks

Yupei Li, Manuel Milling, Berrak Sisman, Björn Schuller

Department of Computing and Chair of Health Informatics Imperial College London and Technical University of Munich London and Munich, United Kingdom and Germany · Chair of Health Informatics Technical University of Munich Munich, Germany · Department of Electrical and Computer Engineering Johns Hopkins Whiting School of Engineering Baltimore, United States+1

Adaptive Deep Brain Stimulation Synaptic Plasticity Neural Network Deep Learning Architectures Intrinsic Dimensionality

Open paper AskPDF arXiv

Artificial neural networks (ANNs), as core components of modern deep learning (DL) systems, lack the adaptive flexibility and long-term stability exhibited by biological systems. This limitation largely stems from the fact that conventional ANNs rely on uniform, local, and gradient-based parameter updates, while neglecting internal learning principles that are biological mechanisms such as neurotransmitters signalling or neuroplasticity. Consequently, many existing approaches focus on architectural expansion or mathematical fine-tuning techniques such as regularisation or parameter isolation. Inspired by the superior adaptability and plasticity of mammalian brains, we posit that neuromodulation with neurotransmitters constitutes a third axis of learning, complementary to neural activity and synaptic plasticity, and should be explicitly modelled in artificial neural networks. In this positional paper, we argue that incorporating neuromodulatory principles into ANN design represents a promising and underexplored research direction, and we advocate for greater attention to this perspective in the development of adaptive and continual learning systems.

Momentum

Related topics

Latest papers 11