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Spiking Temporal Memory (sTM) model for learning sequence timing and controlling replay speed via oscillatory background inputs. Provides biologically plausible mechanisms for encoding element-specific timing and flexible speed control.
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| name | stm-sequence-timing-replay |
| description | Spiking Temporal Memory (sTM) model for learning sequence timing and controlling replay speed via oscillatory background inputs. Provides biologically plausible mechanisms for encoding element-specific timing and flexible speed control. |
| version | 1.0.0 |
| author | Melissa Lober, Younes Bouhadjar, Markus Diesmann, Tom Tetzlaff |
| arxiv_id | 2605.22523 |
| created | 2026-05-30T00:00:00.000Z |
| category | neuroscience |
| tags | ["spiking neural network","sequence timing","replay","temporal memory","oscillation","neuroscience"] |
| activation_keywords | ["sequence timing","replay speed","sTM","spiking temporal memory","oscillatory control","temporal encoding"] |
A biologically inspired network model that extends the spiking Temporal Memory (sTM) framework to learn not only the order of sequence elements but also their precise timing, with flexible control of replay speed via oscillatory background inputs.
Source: arXiv:2605.22523 (Submitted 21 May 2026) Authors: Melissa Lober, Younes Bouhadjar, Markus Diesmann, Tom Tetzlaff Category: Quantitative Biology - Neurons and Cognition (q-bio.NC)
Element Duration → Sequential Activation of Element-Specific Populations
→ Enables encoding across wide range of timescales
# Conceptual sTM model structure
class SpikingTemporalMemory:
def __init__(self):
self.element_populations = {} # Per-element neuron groups
self.timing_encoder = {} # Duration encoding
self.oscillation_input = None # Clock signal
def encode_sequence(self, sequence, timings):
for element, duration in zip(sequence, timings):
# Activate element-specific population sequentially
self._activate_population(element, duration)
def set_replay_speed(self, oscillation_freq):
# Modulate replay via oscillatory input
self.oscillation_input = oscillation_freq
| Model | Order | Timing | Speed Control | Biological |
|---|---|---|---|---|
| Traditional RNN | Yes | Implicit | No | Limited |
| LSTM | Yes | Explicit | No | Limited |
| sTM (original) | Yes | No | No | Yes |
| sTM (extended) | Yes | Yes | Yes | Yes |
Activation Keywords: sequence timing, replay speed, sTM, spiking temporal memory, oscillatory control, temporal encoding
Use When:
Core Insight: Oscillatory background inputs act as flexible clock signals, enabling precise timing encoding and replay speed control without dedicated timekeeper neurons.