Memory Systems · Non-Declarative

Classical Conditioning (Delay and Trace)

Example

A car backfires outside the window while you are working. It happens again the next week, and the week after. By the fourth time you flinch before you have identified the sound, and your heart rate rises before you have decided anything. You could describe the pattern if asked, but the flinch does not wait for the description, and it would still happen if you could not.

01

Classical Conditioning in Humans

Definition

Repeated pairing of a neutral stimulus with a consequence changes the response to that stimulus. In the canonical case the response and the knowledge of the pairing dissociate completely: either can be acquired while the other fails (⁠Bechara et al., 1995⁠). The dissociation is not uniform across procedures, and the two standard forms differ in whether the learning appears to be declarative.

  • Delay conditioning. The conditioned and unconditioned stimuli overlap in time. Acquisition proceeds without awareness of the contingency and survives medial temporal lobe damage. This is the non-declarative form.
  • Trace conditioning. A gap separates the two stimuli. Acquisition tracks awareness of the contingency closely and requires an intact medial temporal lobe (Clark & Squire, 1998).

Contested. Whether any form of Pavlovian conditioning proceeds without awareness is disputed. Reviewing autonomic conditioning, subliminal stimuli, eyeblink conditioning, conditioning in amnesia, evaluative conditioning, and conditioning under anesthesia, Lovibond and Shanks (2002) conclude that the evidence is largely consistent with awareness being necessary though not sufficient for conditioned performance, and that conditioning may depend on a propositional system associated with consciousness rather than a separate lower-level one. If that is right, this construct does not belong in the non-declarative block at all. They also note that many studies used inadequate measures of awareness, which is the specific objection raised against Clark and Squire.

The dispute runs through the row's own evidence. Bechara's hippocampal patient acquired the conditioned response while failing to acquire the declarative facts about the pairing, which is direct evidence against a general awareness requirement. This row treats the delay and trace forms as distinguishable and the awareness boundary as unresolved.

Neural Substrate

Amygdala for the conditioned response, hippocampus for the declarative facts about the pairing: separable systems, with damage to either sparing the other and damage to both abolishing each (⁠Bechara et al., 1995⁠). The hippocampal side of the dissociation carries one qualification: the hippocampal patient produced conditioned responses of normal magnitude but did not respond differentially, continuing to respond to the unpaired stimuli at magnitudes the controls had stopped producing, which the authors read as the hippocampus contributing to the discrimination between paired and unpaired stimuli rather than to the response itself (⁠Bechara et al., 1995⁠).

The response pathway differs by paradigm. In eyeblink conditioning, where the lesion evidence is from rabbits, the conditioned response depends on the cerebellar interpositus nucleus, whose lesion permanently abolishes it, while aspiration of the overlying lateral cerebellar cortex produces only a transient decrement followed by relearning with significant savings (⁠Woodruff-Pak et al., 1985⁠).

Trace and delay procedures diverge above these structures. Amnesic patients fail to acquire trace conditioning while acquiring delay conditioning normally (⁠Clark & Squire, 1998⁠). In a fear conditioning paradigm, the supplementary motor area, frontal operculum, middle frontal gyri, and inferior parietal lobule respond most strongly during the trace interval, with intermediate responses on delay trials and the smallest to the unpaired stimulus, while anterior cingulate and medial thalamus respond to delay and trace alike; the hippocampus is not trace-specific in the same way, showing early increases to every stimulus that fade within the first block of training, a deactivation that is largest during the trace interval, and a first-block difference tied only to how precisely participants timed the shock (⁠Knight et al., 2004⁠). The divergence therefore holds across both response systems, which are otherwise studied in separate literatures, with one caution: the trace intervals are not on the same scale, 500 to 1000 ms in the eyeblink work (⁠Clark & Squire, 1998⁠) against 10 s in the fear paradigm (⁠Knight et al., 2004⁠), so whether "trace" names one procedure across the two is not settled by either study.

02

AI at a Glance

In humans the conditioned response and the knowledge of the pairing come apart: amygdala damage leaves the facts intact and the response absent, hippocampal damage the reverse (⁠Bechara et al., 1995⁠). Language models are measured on conditioning directly in context and through added memory layers, and it is the paradigm the benchmark authors identify as their critical bottleneck, but the dissociation that defines the construct cannot be assessed in a system with a single output channel (⁠Qin et al., 2026⁠).

03

Classical Conditioning in AI

How Far It Has Been Measured

Measurement in AI: Indirectly Measured

AI Memory Performance: Below Human provisional

Where It Lives in the System

What Has Been Measured

  • Only one study found tests AI on classical conditioning by name, a peer-reviewed 2026 benchmark covering the current conversation and add-on saved memory; it uses a text-based analogue rather than the eyeblink or fear paradigm, and no study was found that tests conditioning acquired during training, so the ability is only partly measured (⁠Qin et al., 2026⁠).
  • Each of the 100 conditioning items pairs a cue with a bad outcome over four conversational turns (for example, requests for an "http" link each followed by an "insecure protocol" warning), adds two unrelated turns, then brings the cue back; an item counts as correct only if the first reply avoids or warns about the cue, judged against a rubric by a separate AI model (⁠Qin et al., 2026⁠).
  • Across 17 large language models (averaged over three runs), conditioning scores ranged from 35.7% (Qwen-2.5-7B) to 69.7% for the best system (DeepSeek-R1), with GPT-5 at 64.0% and Claude-4.1-opus at 41.7%; avoidance-type items fared worst, averaging 17.6% versus 75.0% for preference-type items (⁠Qin et al., 2026⁠).
  • The human baseline was five computer science Ph.D. students who completed the same items under the same protocol, scored with the same rubric by two other Ph.D. students (100% agreement); all five scored 100%, so the best AI fell about 30 points below the entire human range, though the human sample is tiny, expert, at ceiling, and scored by people rather than the AI judge (⁠Qin et al., 2026⁠).
  • The test was, if anything, easier for the AI: the models could still see the whole short dialogue (about 500 tokens) in their context window, meaning the text of the current conversation, and the paper does not say whether people could reread it, so the below-human result goes against the AI's advantage and counts (⁠Qin et al., 2026⁠).
  • Adding saved memory did not close the gap: memory-augmented agents scored 63% (MEM1), 25% (MemGPT), and 22% (MemAgent) on conditioning, and even when researchers manually stored the exact cue–outcome pairing in an external memory tool (Mem0), the best score was 76% (⁠Qin et al., 2026⁠).
  • A 2025 preprint shows that the update rules of linear-attention transformer layers are mathematically identical to classic conditioning models (Hebbian contiguity and Rescorla–Wagner error correction) and reproduce Kamin blocking in small trained networks, but it did not test deployed language models or compare them with people (⁠Qiao, 2025⁠).

Purpose and Execution of Memory: Foundational Differences Between Human and AI Memory Architectures, and Implications

Elizabeth K. Bayardelle, PhD and Jennifer L. Thompson, PhD

About & How to Cite