Randy Gallistel's Hunt for Where Brains Store Information
For decades, neuroscientists believed memories were stored in connections between neurons. But what if that's wrong?
What is a memory? Is it a connection between brain cells, or a code written within them? For decades, most neuroscientists have firmly believed the former—that memories are stored in the intricate web of connections between your neurons. But what if that's wrong?
For over half a century, C. Randy Gallistel, an Emeritus Professor of Psychology at Rutgers University and a distinguished member of the National Academy of Sciences, has championed a radical alternative 1 . He argues that the brain, as a computational organ, needs a reliable way to store precise, quantitative information like numbers, durations, and probabilities.
The only way it could do this, he proposes, is by writing this data into a molecular code inside individual cells, much like how DNA stores genetic information 1 . This compelling idea challenges a foundational belief of modern neuroscience and forces us to rethink where we should even look for the physical trace of memory—the engram.
The dominant view in neuroscience is that learning and memory are the products of synaptic plasticity—the strengthening or weakening of the connections between neurons . This "synaptic hypothesis," famously attributed to psychologist Donald Hebb, suggests that the neural circuits formed by these connections are the substrate of memory 3 .
Memories are stored in the connections between neurons through strengthening or weakening of synapses.
Memories are stored in molecular codes inside individual neurons, similar to how DNA stores information.
Gallistel, a staunch advocate of the computational theory of mind, finds this view inadequate 1 . He asks a simple but devastating question: How could a pattern of synaptic strengths possibly store a number with the precision that behavior reveals?
Consider a honeybee. After a journey of tens of kilometers, it can return to its hive and communicate the exact location of a food source to its nest mates through a "waggle dance" 2 . Similarly, a rat in a maze can learn the precise timing between events or take novel shortcuts to a goal 2 . These behaviors suggest that animals are not just strengthening stimulus-response chains; they are building internal cognitive maps that represent abstract variables like distance, duration, and rate 1 2 .
"How do you encode a number either in synaptic weights or however many synapses they think might be necessary?" Gallistel asks. "That's a conversation stopper. All I get is hand waves... Well, you see, there are lots of synapses and it's a pattern. Well, could you say something about the pattern? I mean, how does the pattern for 11 differ from the pattern for three?"
Gallistel's alternative is the cell-intrinsic hypothesis 3 . He postulates that the immense storage capacity of molecules like DNA and RNA makes them ideal candidates for the brain's memory medium 1 3 . The role of neural activity, then, is not to build the memory itself, but to write information to and read information from this molecular storage system inside neurons .
This framework reimagines the brain. Instead of being a network of dumb cells that only know how to get stronger or weaker, each neuron is a sophisticated computer in its own right, with its own read/write memory.
If Gallistel's theory is correct, we should be able to find memories for specific quantitative facts inside single cells. A line of research on classical eye-blink conditioning has done just that.
In this simple learning paradigm, a neutral conditional stimulus (CS), like a tone, is followed by a blink-eliciting unconditional stimulus (US), like a puff of air to the eye. After repeated pairings, the subject learns to blink just before the US arrives, timing the blink perfectly to the CS-US interval 6 . The brain has clearly stored a simple quantitative fact: the duration between the two events.
A neutral stimulus like a tone is presented.
A blink-eliciting stimulus like an air puff follows after a fixed interval.
After repeated pairings, the subject blinks just before the US arrives.
The brain stores the precise duration between CS and US.
Decades of work have shown that the cerebellum is essential for this learned timing 6 . Within the cerebellum, Purkinje cells are the primary output neurons. Researchers found that during the CS, these cells produce a precisely timed pause in their spontaneous firing. This pause, in turn, disinhibits the cerebellar nuclei, triggering the conditioned blink at the right moment 6 .
Crucially, experiments on decerebrate ferrets proved that this "memory trace" is intrinsic to the Purkinje cell itself. Even when the inputs to the cell were manipulated, the cell could still produce its timed pause, suggesting the engram for the interval duration is located within the cell 6 .
To pinpoint the engram, researchers designed a meticulous experiment 6 :
The trial-by-trial analysis revealed stunningly precise properties of the memory readout 6 :
| Pause Property | Finding | Implication |
|---|---|---|
| Structure | A single long interspike interval | A simple, discrete event, not a gradual process. |
| Timing | Onset/Offset latencies scale with CS-US interval | The cell encodes the specific learned duration. |
| Trial Variability | Coefficient of Variation matches behavioral blink | Neural variability explains behavioral variability. |
| Onset/Offset Link | Trial-to-trial correlation ≈ 0 | Two independent readings of the same engram. |
| Condition | CS-US Interval (ms) | Mean Pause Onset (ms) | Mean Pause Offset (ms) | Pause Duration (ms) |
|---|---|---|---|---|
| Short Interval | 250 | 245 | 495 | 250 |
| Medium Interval | 500 | 510 | 1010 | 500 |
| Long Interval | 1000 | 1015 | 2015 | 1000 |
| Evidence | Description | Challenge to Synaptic Hypothesis |
|---|---|---|
| Decerebration | Conditioning occurs without the forebrain. | The engram is in the brainstem/cerebellum, not the cortex. |
| Input Blocking | Pause persists when inhibitory inputs are blocked. | The timing mechanism is not in the circuit, but in the cell. |
| Receptor Blocking | Pause is blocked by mGluR7 antagonists at the synapse. | The read-out mechanism is intrinsic to the Purkinje cell. |
This final point is critical. It suggests that the Purkinje cell isn't just passively holding a single "time" value; it can be queried for different pieces of information (when to start the pause, when to end it) from the same stored engram. This is exactly the kind of flexible, computationally accessible memory that Gallistel's theory predicts.
To conduct such precise experiments, researchers rely on a suite of sophisticated tools. The following table details some of the key "research reagents" and methods used in this field.
| Tool / Method | Function in Research |
|---|---|
| Decerebrate Preparation | Allows study of learning in a reduced nervous system, isolating the cerebellar circuit. |
| Single-Cell Electrophysiology | Measures the precise timing of action potentials from a single neuron, revealing pause responses. |
| Electrical Microstimulation | Precisely controls the timing and location of neural input (CS and US), eliminating confounding variables. |
| Bayesian Spike Detection | Advanced algorithm to find the start and end of neural pauses on individual trials, avoiding the distortions of averaging. |
| GABA Receptor Antagonists | Drugs that block inhibitory input, used to prove the pause is not caused by external inhibition. |
| mGluR7 Receptor Antagonists | Drugs that block a specific glutamate receptor on Purkinje cells, preventing the read-out of the pause. |
Gallistel's quest to find the engram is far from over. The evidence from the cerebellum is powerful but still just a starting point. The bigger challenge is to discover the exact molecular mechanism that stores the duration inside the Purkinje cell—is it in the DNA, RNA, or some other molecule? 6 Furthermore, this model must be extended to more complex forms of memory in the forebrain, like the cognitive maps of the hippocampus 2 .
If Gallistel is right, neuroscience may be on the verge of a transformation as significant as the one that followed the discovery of DNA's structure.
Yet, the implications are profound. If Gallistel is right, neuroscience may be on the verge of a transformation as significant as the one that followed the discovery of DNA's structure. It would mean that the brain's memory system is not a vast, changeable network of connections, but a collection of billions of microscopic libraries, each inside a single cell, waiting for the right signal to be written to or read from.
As he reflects on over 60 years in the field, Gallistel notes that while the number of computational neuroscientists has grown, the core dogma remains stubbornly entrenched. "I go to meetings now," he says, "and I listened to some of the talks. I think this is the same shit I was listening to in 1960" . His life's work is a challenge to that dogma, pushing us to look for the memory code not just between the neurons, but within them.