Minds of small things  ·  Article

Basal cognition

Basal cognition is a research programme that looks for memory, prediction and learning in organisms and tissues without a nervous system. It seeks the evolutionary antecedents of mind and asks what minimal dynamics are enough to build simple cognitive functions4. Its authors argue that brains are not required for such functions7. This changes where researchers look for cognition and which systems they treat as agents.

Earliest held
1890, James, W.
Most discussed in
The Principles of Psychology, Vols. 1-2, 1890
In the library
537 passages in 33 works
Rewritten
2026-10-03
01

Older roots

The idea has precedents in the older literature. William James wrote in 1890 that in the lower forms of life, cognition is nothing more than a guide to appropriate action1. He described cognition as a moment in what is, in its totality, a motor phenomenon. In 1925 Lotka, in a footnote, reported Tansley's summary of Holt's view that mind is merely the integration of an organism's motor responses to stimuli2. Tansley's summary also said that the link between mind and brain remained as dark as ever. These authors tied cognition to action and to simple responses rather than to complex brains.

02

Cognition without brains

In the recent work, Biswas, Clawson and Levin (2022) argued that every person has crossed from a bag of biochemical reactions, a quiescent oocyte, to an adult capable of rational thought. They concluded that primitive forms of cognition should be treated as a spectrum extending to unconventional substrates besides mature brains4. Ciaunica, Shmeleva and Levin (2023) said that aneural organisms show memory, prediction and learning. They proposed that basal cognition may not need a nervous system or brain7. They added that such systems solve problems in metabolic, transcriptional, physiological and anatomical spaces.

03

Competent parts and plasticity

Levin (2019) linked basal cognition to development. He argued that complex agents consist of micro-agents selected for proto-cognitive competency, and that this produces the somatic plasticity seen across biology3. He cited tadpoles engineered with eyes on their tails, which see quite well although the eyes connect to the spinal cord rather than the brain3. Biswas and colleagues (2022) tested memory in transcriptional network models. They reported that biological network models resisted edge perturbation better than random networks did5. They also noted that signalling pathways can be viewed as proto-cognitive systems.

04

Labels and evolutionary framing

Reid (2023) reviewed the slime mould Physarum. He noted that its behaviour has been classed as basal, embodied, extended and minimal cognition6. He warned that researchers could treat this work as a separate domain through the clever use of definitions. Fábregas-Tejeda and Sims (2025) compared basal cognition with comparative animal cognition. They said that basal cognition seeks cognitive capacities and mechanisms in non-neural organisms outside the animal kingdom8. They judged that sweeping scepticism toward the approach may be unwarranted. They also listed cautions that would improve its standing as an evolutionary approach.

SourcesEach quotation was checked word for word against the passage it opens.
  1. In the lower forms of life no one will pretend that cognition is anything more than a guide to appropriate action.James, W., 1890 · The Principles of Psychology, Vols. 1-2 · open at passage 2424
  2. Professor Holt very clearly expounds the view that mind is merely the ‘integration’ of the organism’s motor responses to stimuli.Lotka, A. J., 1925 · Elements of Physical Biology · open at passage 932
  3. This somatic plasticity is ubiquitous in biology because complex agents inevitably consist of micro-agents that were selected on the basis of proto-cognitive competency.Levin M, 2019 · The Computational Boundary of a "Self": Developmental Bioelectricity Drives… · open at passage 66
  4. Recent progress in the field of basal cognition seeks phylogenetic antecedents to memory and other cognitive functions and asks what minimal dynamics are sufficient for implementing simple functional building blocksBiswas S, Clawson W, Levin M, 2022 · Learning in Transcriptional Network Models: Computational Discovery of… · open at passage 3
  5. Indeed, the pressure to adapt to variable environments is hypothesized to be one driver of basal cognition through inferenceBiswas S, Clawson W, Levin M, 2022 · Learning in Transcriptional Network Models: Computational Discovery of… · open at passage 42
  6. Physarum behaviour has been classed as basal cognition (Lyon et al. 2021), embodied cognition (Cheng 2022), extended cognition (Sims and Kiverstein 2022), and minimal cognitionReid CR, 2023 · Thoughts from the forest floor: a review of cognition in the slime mould… · open at passage 50
  7. these empirical findings and theoretical work seem to support the idea that basal cognition may not require nervous system or brain (Levin, 2019).Ciaunica A, Shmeleva EV, Levin M, 2023 · The brain is not mental! coupling neuronal and immune cellular processing in… · open at passage 28
  8. However, in basal cognition research, both cognitive capacities and underlying mechanisms, in their full variety, are sought after also in non-neural organisms outside of the animal kingdom.Fábregas-Tejeda A, Sims M, 2025 · On the prospects of basal cognition research becoming fully evolutionary… · open at passage 16
Linked ideas
Basal cognition applies cognitive terms to systems without brains, which raises the question of what counts as evidence of mind.
Single cells and other aneural organisms are cited as showing memory, prediction and learning without a nervous system.
Gap junctionsrelated to
Levin (2022) lists gap junctions and bioelectricity among the keywords tying basal cognition to regeneration and synthetic morphology.
Regenerationrelated to
Levin (2022) pairs regeneration with basal cognition, and Levin (2023) expects regenerative medicine to use the decision-making of cells and tissues.
Both treat memory as something found in simple or non-brain systems, and the Abramson and Levin primer ties memory and learning to basal cognition.
Levin frames non-neural cell collectives as cognitive agents, with problem-solving in morphospace as the main evidence.
The cognitive light cone is the measure Levin uses to compare cognitive reach across cells, tissues and organisms.
Levin's framework places basic goal-directed activity among the components of cognition at any scale.
Single-cell homeostatic loops, such as pH control, are offered as low-level goals from which larger cognitive capacities scale.
Fábregas-Tejeda and Sims expect causal-mechanistic work to become standard in basal cognition research, as it did in Evo-Devo.
Levin and Fields treat cognition as a continuum and take continuity as the null hypothesis, against sharp discontinuous jumps.
Evolvabilityrelated to
Biswas et al. link pressure to adapt to variable environments to basal cognition, and robust memory in biological networks to that pressure.
Abramson and Levin want to test how much sensing, decision-making and learning Xenobots show, using behaviourist methods.
Levin maps neuromodulation onto pre-nervous serotonin signalling, pairing neuroscience concepts with their morphogenetic analogs in non-neural tissue.
Target morphologypart of / contains
Target morphology serves as the tissue-level goal or pattern memory in basal cognition: regeneration is anatomical homeostasis, and morphogenesis is behavior navigating morphospace toward a setpoint, which can be rewritten bioelectrically.
Darwin's comparison of a root tip to a brain is an early case of crediting plants with animal-like control.
Reid presents Physarum as a model for non-neural cognition, with sensing, decision-making, memory and learning in a single cell.
Bioelectric prepatternpart of / contains
Bioelectric prepatterns are a mechanism within basal cognition: spatial voltage patterns act as rewritable pattern memories guiding morphogenesis in non-neural tissue, the slower ancestor of neural spiking.
Passages treat plasticity (experience-dependent change, history-based remodeling of stable states) as a core mechanism of basal cognition in non-neural cells, networks and tissues; habit itself is never discussed.
Levin's remark on biophoton channels appears in an argument about proto-cognitive signalling among non-neural cells.
Conditioning in gene networks is offered as evidence for learning in systems with no nervous system.
Planarian brain waves and decision-making appear together in the Durant review.
Where it is discussedPassages matching basal cognition, minimal cognition, cognition, proto-cognitive
1890The Principles of Psychology, Vols. 1-2 · James, W.78
2022Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework… · Levin M73
2025On the prospects of basal cognition research becoming fully evolutionary… · Fábregas-Tejeda A, Sims M60
2019The Computational Boundary of a "Self": Developmental Bioelectricity Drives… · Levin M47
2023The brain is not mental! coupling neuronal and immune cellular processing in… · Ciaunica A, Shmeleva EV, Levin M35
2023Bioelectric networks: the cognitive glue enabling evolutionary scaling from… · Levin M29
2015The cognitive cell: bacterial behavior reconsidered · Lyon P28
2023Thoughts from the forest floor: a review of cognition in the slime mould… · Reid CR26
2016On Having No Head: Cognition throughout Biological Systems · Baluška F, Levin M24
2022Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing… · Fields C, Levin M22