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Found 22 papers, 13 papers with code
Information encoding and decoding in in-vitro neural networks on micro electrode arrays through stimulation timing
A primary challenge in utilizing in-vitro biological neural networks for computations is finding good encoding and decoding schemes for inputting and decoding data to and from the networks.
Capturing Emerging Complexity in Lenia
The platform is important as a tool for studying artificial life and evolution, as it provides a scalable and flexible environment for creating a diverse range of organisms with varying abilities and behaviors.
Optimization of a Hydrodynamic Computational Reservoir through Evolution
In this study, we interface with a model of a hydrodynamic system, under development by a startup, as a computational reservoir and optimize its properties using an evolution in materio approach.
Local learning through propagation delays in spiking neural networks
We propose a novel local learning rule for spiking neural networks in which spike propagation times undergo activity-dependent plasticity.
Assessing the robustness of critical behavior in stochastic cellular automata
We systematically perturb the probabilities of an optimal stochastic CA known to produce critical behavior, and we report that such a CA is able to remain in a critical regime up to a certain degree of noise.
Towards the Neuroevolution of Low-level Artificial General Intelligence
We evaluate a method to evolve a biologically-inspired artificial neural network that learns from environment reactions named Neuroevolution of Artificial General Intelligence (NAGI), a framework for low-level AGI.
Collective control of modular soft robots via embodied Spiking Neural Cellular Automata
Voxel-based Soft Robots (VSRs) are a form of modular soft robots, composed of several deformable cubes, i. e., voxels.
A Unified Substrate for Body-Brain Co-evolution
The genome of such a multicellular organism guides the development of its body from a single cell, including its control system.
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics
While Artificial Intelligence (AI) technologies are being progressively developed, artists and researchers are investigating their role in artistic practices.
Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity
Neuro-inspired models and systems have great potential for applications in unconventional computing.
Towards self-organized control: Using neural cellular automata to robustly control a cart-pole agent
The observations of the environment are transmitted in input cells, while the values of output cells are used as a readout of the system.
On Artificial Life and Emergent Computation in Physical Substrates
We conclude with a philosophical discussion on what we can learn from approaching computation with the curiosity inherent to the study of artificial life.
A deep learning based tool for automatic brain extraction from functional magnetic resonance images in rodents
In this study, we address this problem by implementing a neural network based method that uses a U-Net architecture to segment the brain area into a mask and removing the skull and other tissues from the image.
A general representation of dynamical systems for reservoir computing
The advantages of such implementation are its usage on specialized and optimized deep learning libraries, the capabilities to generalize it to other types of networks and the possibility to evolve cellular automata and other dynamical systems in terms of connectivity, update and learning rules.
DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks
The goals are to simplify the training and usage of deep learning methods for computer vision and facilitate its integration into graph extraction pipelines.
Ethics of Artificial Intelligence Demarcations
In this paper we present a set of key demarcations, particularly important when discussing ethical and societal issues of current AI research and applications.
Evolved Art with Transparent, Overlapping, and Geometric Shapes
In this work, an evolutionary art project is presented where images are approximated by transparent, overlapping and geometric shapes of different types, e. g., polygons, circles, lines.
A Conceptual Bio-Inspired Framework for the Evolution of Artificial General Intelligence
In this work, a conceptual bio-inspired parallel and distributed learning framework for the emergence of general intelligence is proposed, where agents evolve through environmental rewards and learn throughout their lifetime without supervision, i. e., self-learning through embodiment.
Autonomous Configuration of Network Parameters in Operating Systems using Evolutionary Algorithms
By default, the Linux network stack is not configured for highspeed large file transfer.
Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarm Using Embodied Evolution
Abruptions to the communication infrastructure happens occasionally, where manual dedicated personnel will go out to fix the interruptions, restoring communication abilities.
Deep Reservoir Computing Using Cellular Automata
The system comprised of two layered reservoirs do show a noticeable improvement compared to a single CA reservoir.
Reservoir Computing Using Non-Uniform Binary Cellular Automata
In this paper, selected state-of-the-art experiments are reproduced.
