6 papers
Scientific discovery as meta-optimization: a combinatorial optimization case study
Yuan-Hang Zhang, Chesson Sipling, Massimiliano Di Ventra
Scientific discovery is fundamentally an optimization problem, defined by a vast "state space" of theories and experiments, and an evaluation criterion based on quality, novelty, a…
A Critical Assessment of the Brain Criticality Hypothesis
Chesson Sipling, Yuan-Hang Zhang, Massimiliano Di Ventra
A major unresolved question in Neuroscience is: What is the origin of the observed scale-invariant correlations in neural activity? Many researchers support the ``criticality hypot…
Memory-induced long-range order drag
Yuan-Hang Zhang, Chesson Sipling, Massimiliano Di Ventra
Recent research has shown that memory, in the form of slow degrees of freedom, can induce a phase of long-range order (LRO) in locally-coupled fast degrees of freedom, producing po…
Phase-Space Engineering and Collective Dynamics in Memcomputing
Chesson Sipling, Yuan-Hang Zhang, Massimiliano Di Ventra
Digital Memcomputing machines (DMMs) are dynamical systems with memory (time non-locality) that have been designed to solve combinatorial optimization problems. Their corresponding…
Memory in neural activity: long-range order without criticality
Jay Sun, Chesson Sipling, Yuan-Hang Zhang +1
The "criticality hypothesis", based on observed scale-free correlations in neural activity, posits that the brain operates at a critical point of transition between two phases. How…
Memory-induced long-range order in dynamical systems
C. Sipling, Y. -H. Zhang, M. Di Ventra
Time non-locality, or memory, is a non-equilibrium property shared by all physical systems. Here, we show that memory is sufficient to induce a phase of spatial long-range order (L…