Programme Overview
INCC 2027 will unite, for the first time, researchers, industry leaders, and policymakers across neuroscience, materials, hardware, algorithms, and applications to shape the future of brain-inspired computing.
The INCC 2027 programme is designed as a comprehensive academic experience, featuring four to five parallel topical sections alongside joint plenary talks from world-class leaders in the field. Attendees will have access to vibrant poster sessions, social events, and dedicated networking possibilities to foster global research partnerships.
Conference Core Themes
Neuromorphic and unconventional computing cannot be confined to disciplinary boundaries. INCC 2027 is therefore organised as a set of interconnected and flexible five streams, where shared interdisciplinary themes are explored from multiple perspectives, where similar topics reappear across streams with distinct focus, bridging physics, materials, algorithms, hardware, and real-world applications. The themes listed are intended as guidance and are not restrictive; contributions on related topics are welcome.
(01)
Neuroscience-inspired unconventional computing and bio-electronics interface
(02)
Unconventional computing: concepts and algorithms
(03)
Materials for computing
(04)
Unconventional computing hardware and devices
(05)
Industry, policies and applications
Neuroscience-inspired unconventional computing and bio-electronics interface
Neuroscience-inspired unconventional computing and bio-electronics interface
bio-silicon integration, closed-loop interfaces, living neural systems
Neuromorphic sensing and event-based perception
event-based encoding and sensor fusion, vision, multimodal sensing
Dendritic and synaptic computation
multi-compartment neural models, nonlinear processing, dendrocentric learning
Plasticity and adaptive learning in hardware
Spike-timing-dependent plasticity, multi-timescale learning, lifelong learning, attractors and memory formation
Subcommittee: Neuroscience-inspired unconventional computing, bio-electronics interface
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Paul Roach (Loughborough University) (Chair)
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Rhein Parri (Aston University)
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Hideaki Yamamoto (Tohoku University)
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Donhee Ham (Harvard University)
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Mihai A. Petrovici (Bern University)
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Arindam Basu (City University of Hong Kong)
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Ramez Daniel (Technion Institute of Technology)
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Feng Guo (Indiana University)
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Christian Tetzlaff (University of Göttingen)
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Cristiano Capone (Univ. Rome)
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Chiara De Luca (University of Zurich)
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Michela Chiappalone (Univ. Genoa)
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Laura Bégon-Lours (ETH)
Organoid and biological computing platforms
Spike-timing-dependent plasticity, multi-timescale learning, lifelong learning, attractors and memory formation
Neural coding strategy for energy- efficient computing
sparse and population coding, spike-based coding
Bio-electronic signal transduction and neural interfacing materials
organic electronics, bio-compatible neuromorphic circuits and devices, organic event-based sensing
Embodied intelligence and NeuroAI
neurorobotics, prosthetics, brain-inspired control systems, spiking deep neural networks, spiking state-space models, biologically plausible learning
Physical Computing: Concepts & Algorithms
Computing with dynamical systems and reservoirs
reservoir computing and extreme learning machines, dynamical regimes and computing performance, nonlinearities and computing capacity, computing along multi-scale topologies, computing with multi-timescales, physical constraints for deep reservoirs
Unconventional computing approaches
probabilistic, stochastic and energy-based computing frameworks, topological computing, quantum and quantum-inspired computation, over the air computing, hyper-dimensional computing and systems including symbolic reasoning
Learning and optimisation in physical substrates
physical annealing for combinatorics problems, physical gradient creation and propagation methods, model-based approaches including digital twin and physics aware training, model-free and gradient-free approaches, teacher input driven learning concepts, learning to learn concepts
Performance theory of physical computing systems
predictors of computing performance, computing performance of dynamical regimes, nonlinearities and topologies, scaling laws
Subcommittee: Unconventional computing concepts and algorithms
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Natalia Berloff (Cambridge University) – Chair
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Nathan Kutz (Autodesk Research)
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Peter Bienstman (UGent)
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Varuna De-Silva (Loughborough University)
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Emre Neftci (Forschungszentrum Julich)
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Ying-Cheng Lai (Arizona State University
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Claudio Gallicchio (University of Pisa)
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Gerard McCaul (Loughborough University
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Ryan Hamerly (MIT)
Physics-informed and hybrid AI methods
physics-informed computing with physical substrates, symbolic reasoning and neuromorphic systems, hybrid system for multi-scale computing, neuromorphic vector symbolic architectures, parameter scaling in physical systems, state and parameter sampling
Algorithm–hardware co-design and co-optimisation
readout mechanisms and hardware friendly learning
Materials for Computing
Synapses and in-materio learning
bio-plausible plasticity, multi-timescale plasticity
Nonlinear and functional materials for computation
low energy nonlinearity, activation-function like nonlinearities, ultra-fast nonlinear responses
Memristive and resistive switching materials
phase-change materials, ferroelectric, semiconducting and multiferroic materials
2D materials and van der Waals heterostructures
Subcommittee: Materials for computing hardware and devices
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Judith Driscoll (University of Cambridge) - chair
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Yang Hao (Queen Mary University London)
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Elisa Vianello (CEA Leti)
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Joshua Yang (University of Southern California)
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Martin Ziegler (University of Ilmenau)
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Laura Bégon-Lours (ETH Zurich)
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Abin Varghese (University of Cambridge)
Spintronic materials and magnetic devices
Optoelectronic and photonic materials
oxides, dielectrics, semiconductors, organic bio compatible and soft materials
Stochastic and disorder-based materials for computing
Embodied intelligence and NeuroAI
neurorobotics, prosthetics, brain-inspired control systems, spiking deep neural networks, spiking state-space models, biologically plausible learning
Neuromorphic computing hardware and full system implementation
Neuromorphic processors and large-scale architectures
analog accelerators, memristive and crossbars, spiking hardware neurons
Physical computing systems and platforms
electronic, photonic, magnetic, mechanical, hybrid
Cross-domain and heterogeneous integration
electronics–photonics–mechanics
System-level challenges and scalability
system-level performance impact from device-non-idealities and variability, energy and training memory bottlenecks, large-scale weight-control
Subcommittee: Unconventional computing hardware and devices
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Tony Kenyon (University College London) - Chair
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Dimitra Georgiadou (Southampton University)
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Peter McMahon (Cornell University)
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Antonio Hurtado (University of Strathclyde)
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Beatriz Noheda (University of Groningen, Netherlands)
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Alireza Morandi (Caltech)
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Kwabena Boahen (Stanford University)
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Damien Querlioz (Université Paris-Saclay)
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Kohei Nakajima (Tokyo University)
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Miguel Soriano Cornelles (IFISC, Palma de Mallorca)
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Lu Fang (Tsinghua University, Beijing)
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Satoshi Sunada (Kanazawa University, Japan)
Benchmarking, metrics and performance evaluation
Applications, industry, policies, and technology transfer
Commercial neuromorphic processors and deployment
Edge neuromorphic hardware for robotics and autonomous systems
Sensing, IoT and cyber-physical systems
Neuromorphic technologies for critical infrastructure and supply chain resilience
Subcommittee: Industry, policies and applications
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Bert Offrein ((IBM)
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Pedro Freire (Lloyds Banking Group)
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Francesca Parmigiani (Microsoft)
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Gregory Cohen (International Centre for Neuromorphic Systems, Western Sydney University)
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Iris Leussink (TNO, The Netherlands)
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Laurent Hili (European Space Agency
Large-scale computing, sustainability and energy efficiency
Standardisation, industrial benchmarking and interoperability of neuromorphic hardware
Ethical, regulatory and societal aspects of neuromorphic AI
Policies, industrial roadmaps and global international research initiatives
Conference Concept & Fees
INCC 2027 is conceived as a community-driven, non-profit conference, where all registration fees are reinvested directly into delivering a high-quality and accessible event. The financial model is designed to ensure that participation remains inclusive, with particular attention to supporting students and early-career researchers through reduced registration rates.
Conference fees will be used exclusively to cover essential costs associated with organising the event, including venue hire, catering, and core logistics, as well as supporting the participation of plenary speakers and a selected number of attendees. The aim is to maintain a transparent and balanced approach where the focus remains on scientific exchange, collaboration, and community building rather than financial gain.
Tony Kenyon
University College London, IKC Neuroware
General Programme Chairs
Giacomo Indiveri
University of Zurich and ETH Zurich
Daniel Brunner
FEMTO-ST, CNRS, Photonic Artificial Neural Networks
Melika Payvand
ETH Zurich
Wilfred G. van der Wiel
University of Twente, Co-Director BRAINS Center
Catherine Schuman
University of Tennessee
Steve Furber
University of Manchester, SpiNNaker
Programme Subcommittees
Responsible for programme quality, including invited speakers, topics, and accepted papers.
Subcommittee: Neuroscience-inspired unconventional computing, bio-electronics interface
Paul Roach (Loughborough University) (Chair)
Rhein Parri (Aston University)
Hideaki Yamamoto (Tohoku University)
Donhee Ham (Harvard University)
Mihai A. Petrovici (Bern University)
Arindam Basu (City University of Hong Kong)
Ramez Daniel (Technion Institute of Technology)
Feng Guo (Indiana University)
Christian Tetzlaff (University of Göttingen)
Cristiano Capone (Univ. Rome)
Chiara De Luca (University of Zurich)
Michela Chiappalone (Univ. Genoa)
Laura Bégon-Lours (ETH)
Subcommittee: Unconventional computing concepts and algorithms
Natalia Berloff (Cambridge University) (Chair)
Nathan Kutz (Princeton Univeristy London)
Peter Bienstman (UGent)
Varuna De-Silva (Loughborough University)
Emre Neftci (Forschungszentrum Julich, Germany)
Subcommittee: Materials for computing hardware and devices
Judith Driscoll (University of Cambridge) (Chair)
Abin Varghese (University of Cambridge)
Yang Hao (Queen Mary University London)
Elisa Vianello (CEA Leti)
Joshua Yang (University of Southern California)
Martin Ziegler (University of Illmenau)
Harish Bhaskaran (Oxford University/Apple)
Subcommittee: Unconventional computing hardware and devices
Tony Kenyon (University College London) - Chair
Dimitra Georgiadou (Southampton University)
Peter McMahon (Cornell University)
Antonio Hurtado (University of Strathclyde)
Beatriz Noheda (University of Groningen, Netherlands)
Alireza Morandi (Caltech)
Kwabena Boahen (Stanford University)
Damien Querlioz (Université Paris-Saclay)
Kohei Nakajima (Tokyo University)
Miguel Soriano Cornelles (IFISC, Palma de Mallorca)
Lu Fang (Tsinghua University, Beijing)
Satoshi Sunada (Kanazawa University, Japan)
INCC Organising Committee
The Organising Committee is responsible for the overall conference organisation and ensuring its financial viability. It is composed of a dedicated team of academics, experienced managers, and administrators working together to deliver a seamless event.
Claudio Mirasso, Physics Department of the Universitat de les Illes Balears, Cooridnator of MSCA DN project POSTDIGITAL+
Adonis Bogris, Department of Informatics and Computer Engineering, University of West Attica, Greece
Francesco Da Ros, DTU, Centre of Excellence for Silicon Photonics for Optical Communications, Denmark, Coordinator of MSCA DN project MINDnet
Goery Genty, Tampere University, Finland, Director of the Flagship for Photonics Research and Innovation (PREIN)
Shigeo Okabe, RIKEN Center for Brain Science (CBS) Brain/MINDS 2.0, Japan
Dirk Pleiter, Cognitive Systems and Materials Center (CogniGron), University of Groningen, Netherlands
Uğur Teğin, Koç University, Turkey
Giulia Marcucci, LumiAIres Ltd, UK
Lüdge Kathy, Technische Universität Ilmenau, Germany
Giulia D'Angelo, Czech Technical University, Czechia
Juan Sebastian Totero Gongora, Emergent Photonics Research Centre, Loughborough University, UK
Sergei Turitsyn, Aston Institute of Photonic Technologies, Aston University, UK
Tatiana Kilina, Aston Institute of Photonic Technologies, Aston University, UK
Natalia Manuilovich, Aston Institute of Photonic Technologies, Aston University, NeuroSYNC, UK