--- abstract: 'Unsupervised learning is an important property of the brain and of many artificial neural networks. A large variety of unsupervised learning algorithms have been proposed. This paper takes a different approach in considering the architecture of the neural network rather than the learning algorithm. It is shown that a self-organising neural network architecture using pre-synaptic lateral inhibition enables a single learning algorithm to find distributed, local, and topological representations as appropriate to the structure of the input data received. It is argued that such an architecture not only has computational advantages but is a better model of cortical self-organisation.' altloc: [] chapter: ~ commentary: ~ commref: ~ confdates: ~ conference: ~ confloc: ~ contact_email: ~ creators_id: [] creators_name: - family: Spratling given: Michael honourific: '' lineage: '' date: 1999 date_type: published datestamp: 2000-11-15 department: ~ dir: disk0/00/00/11/08 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: [] eprint_status: archive eprintid: 1108 fileinfo: /style/images/fileicons/application_postscript.png;/1108/2/factopol.ps full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: pub issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: 'neural networks, lateral inhibition, self-organisation, unsupervised learning, neural coding, factorial coding' lastmod: 2011-03-11 08:54:27 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: 4 pagerange: 285-301 pubdom: FALSE publication: 'Network: Computation in Neural Systems,' publisher: ~ refereed: TRUE referencetext: ~ relation_type: [] relation_uri: [] reportno: ~ rev_number: 10 series: ~ source: ~ status_changed: 2007-09-12 16:36:27 subjects: - comp-sci-neural-nets - neuro-mod succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: Presynaptic lateral inhibition provides a better architecture for self-organising neural networks type: journalp userid: 1040 volume: 10