Awesome interview by our project coordinator Eörs Szathmáry - about the impact of INSIGHT to the advancement of research on neurodynamics and its applications on robotics!👇 ec.europa.eu/digital-single-…

We focus on how language evolves, what does the brain need and what social patterns are required @lucsteels @FET_Insight

Undergraduates get involved with multielectrode array recording expts for third-year projects @FET_Insight

Trying to discover the (neuro-)computational processes that build and maintain linguistic structures @lucsteels @FET_Insight

This paper introduces the Syntax Game, a language game for exploring the origins of syntactic structure @FET_Insight

The Syntax Game is a variant of the Naming Game but introduces more complex semantics @FET_Insight

The Syntax Game is a minimal language game for exploring how grammar can arise in a population of agents @FET_Insight

The Syntax Game is a game of reference similar to the Naming Game that studies syntax emergence @FET_Insight

The paper explored the hypothesis that usage-based grammar learning can be modelled as an insight problem solving process @FET_Insight

The advantage of a simpler system is that the minimal characteristics of a language learner become more starkly visible @FET_Insight

The activity of a network of neurons trained to encode a time interval can be used to train a naive network @FET_Insight

Sussex use micro-electrode arrays to store defined time intervals between activity of two neuronal populations @FET_Insight

Sussex train one set of hippocampal neurons to fire at a defined time interval after another set @FET_Insight

Structural synaptic plasticity is a mechanism that allows exploring a complex fitness landscape @hpvladar @FET_Insight

Strongly couple neurons with structural synaptic plasticity can lead to self-organised criticality! @hpvladar @FET_Insight

Strategies to build language can't use machine learning techniques bc lang is incremental and no training corpus available @FET_Insight

Selection of novel variation within brains plays an active role in learning and thinking @hpvladar @FET_Insight

Search and impasse stages recur several times for the majority of participants during a classic insight task @fedoranna @FET_Insight

Replicator equations show that learning and evolvability can be viewed as the same phenomenon @hpvladar @FET_Insight

Reflex learning provides a kind of mutation which facilitates the replication of the whole behavioural phase space @FET_Insight