Memristive model of amoeba's learning

Abstract

Recently, it was shown that the amoeba-like cell {\it Physarum polycephalum} when exposed to a pattern of periodic environmental changes learns and adapts its behavior in anticipation of the next stimulus to come. Here we show that such behavior can be mapped into the response of a simple electronic circuit consisting of an $LC$ contour and a memory-resistor (a memristor) to a train of voltage pulses that mimic environment changes. We also identify a possible biological origin of the memristive behavior in the cell. These biological memory features are likely to occur in other unicellular as well as multicellular organisms, albeit in different forms. Therefore, the above memristive circuit model, which has learning properties, is useful to better understand the origins of primitive intelligence.

References in corpus (3)

• Spin memristive systems
• Electrochemically controlled polymeric device: a memristor (and more) found two years ago
• Frequency doubling and memory effects in the Spin Hall Effect

Cited by in corpus (61)

• Circuit elements with memory: memristors, memcapacitors and meminductors
• Memory effects in complex materials and nanoscale systems
• Practical approach to programmable analog circuits with memristors
• Neuromorphic, Digital and Quantum Computation with Memory Circuit Elements
• Memristive circuits simulate memcapacitors and meminductors
• Solving mazes with memristors: a massively-parallel approach
• Universal Memcomputing Machines
• Emulation of floating memcapacitors and meminductors using current conveyors
• SPICE model of memristive devices with threshold
• Solid-state memcapacitive system with negative and diverging capacitance
• Kondo memory in driven strongly-correlated quantum dots
• Stochastic memory: memory enhancement due to noise
• Evolution of Plastic Learning in Spiking Networks via Memristive Connections
• Slime Mould Memristors
• Bistable non-volatile elastic membrane memcapacitor exhibiting chaotic behavior
• A simple test for ideal memristors
• Chaotic memristor
• Memristor Crossbar-based Hardware Implementation of IDS Method
• On the validity of memristor modeling in the neural network literature
• Lagrange formalism of memory circuit elements: classical and quantum formulations
• Designing nonlinear thermal devices and metamaterials under the Fourier's law: A route to nonlinear thermotics
• Memory models of adaptive behaviour
• The complex dynamics of memristive circuits: analytical results and universal slow relaxation
• Custodial chiral symmetry in a Su-Schrieffer-Heeger electrical circuit with memory
• Bioinspired Associative Memory System Based on Enzymatic Cascades
• Complex dynamics and scale invariance of one-dimensional memristive networks
• First order devices, hybrid memristors, and the frontiers of nonlinear circuit theory
• Dynamical attractors of memristors and their networks
• Evolving Spiking Networks with Variable Resistive Memories
• Memcomputing with membrane memcapacitive systems
• Memristive properties of single-molecule magnets
• Probabilistic Memristive Networks: Application of a Master Equation to Networks of Binary ReRAM cells
• Realization of Associative Memory in an Enzymatic Process: Towards Biomolecular Networks with Learning and Unlearning Functionalities
• Beyond Memristor: Neuromorphic Computing Using Meminductor
• Teaching Memory Circuit Elements via Experiment-Based Learning
• Memristive oscillatory circuits for resolution of NP-complete logic puzzles: Sudoku case
• Can bio-inspired information processing steps be realized as synthetic biochemical processes?
• The mise en scene of memristive networks: effective memory, dynamics and learning
• A Memcomputing Pascaline
• Memristive Sisyphus circuit for clock signal generation
• Theory of heterogeneous circuits with stochastic memristive devices
• Transient dynamics of pulse-driven memristors in the presence of a stable fixed point
• Metastable Memristive Lines for Signal Transmission and Information Processing Applications
• Fast IDS Computing System Method and its Memristor Crossbar-based Hardware Implementation
• A scalable method to find the shortest path in a graph with circuits of memristors
• Reduction of Joule Losses in Memristive Switching Using Optimal Control
• Uniform and Piece-wise Uniform Fields in Memristor Models
• Bottom-up robust modeling for the foraging behavior of Physarum polycephalum
• Efficient neuro-fuzzy system and its Memristor Crossbar-based Hardware Implementation
• Experimental demonstration of associative memory with memristive neural networks
• Routing Physarum with electrical flow/current
• Switching synchronization in 1-D memristive networks: An exact solution
• On hybrid circuits exploiting thermistive properties of slime mould
• Memristive fuzzy edge detector
• A New Oscillating-Error Technique for Classifiers
• Memristor Applications: Nanodevices Redefining Technological Landscapes
• Circuit proposition for copying the value of a resistor into a memristive device supported by HSPICE simulation
• Using memristor crossbar structure to implement a novel adaptive real time fuzzy modeling algorithm
• Teaching Forced Damped Oscillator Using RLC Circuit Through Inverse Modeling
• A Repeated Signal Difference for Recognising Patterns
• Consciousness and Learning based on DNA Recombination and Memristor Quality of Microtubules