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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →226 published records on brain-computer interface signal decoding, spanning filers from universities to startups, with 37% of 225 records still in force.
This landscape draws on the search string TAC:(("brain computer interface" OR "brain machine interface") AND (decoding OR classification) AND (algorithm OR signal)), which returned 226 published records with no date limit applied. Filers range from research universities and government bodies to smaller companies, and the dataset includes both organisations and named individuals, though the filer table on this page lists organisations.
Legal status, technology composition and the filing trend below are drawn directly from this record set and should be read against its size: 226 records is a moderate pool, large enough to show who files and what the technology mix looks like, but not large enough to support a reading of market concentration or technology maturity.
Counted over all 226 published records, including filings from before 2008; the filing-trend chart below covers only the 207 records from 2008 onward, so the two charts are not the same set of documents. Ordered by volume only, not by importance or claim strength. Counted in simple (DOCDB) patent families, so one invention filed in several countries counts once. Names come from Patsnap's standardised assignee field as recorded on each document; subsidiaries and group companies are not merged. The icon before each name is read from the name itself (words such as University, Institute or Ltd); the data carries no organisation-type field, so treat it as a reading aid rather than a classification. Filings held by named individuals rather than organisations are removed where they can be identified (21 here); that identification is not exhaustive, so an individually held filing can still appear below. Either way those filings stay inside the totals above. This table shows the top 30 of the 79 filers returned for this search; the data endpoint returns at most 100 entities, so even that 79 is not the complete set of filers. A single family can name more than one filer, so these counts overlap and do not add up to the total.
Pick a task. Every answer cites the patents behind it.
The figures below are counted in published records, not simple patent families, so a single invention filed in several countries can appear more than once in these series.
Published records by earliest filing year run from 3 in 2008 to 14 in 2026, with a peak of 22 reached in both 2018 and 2024. Records from 2022 onward are still filling in as later filings publish, so that stretch of the chart understates the eventual count and should not be read as a decline.
Counted in published records by earliest filing year, not de-duplicated into families. A filing is counted in the year it was filed, but it only becomes visible after it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. 2022 onwards are therefore still filling in and are shaded; no growth figure on this page uses them. Because this series counts documents rather than inventions, a rise can mean more inventions or the same inventions filed in more countries; this dataset cannot separate the two. This chart covers 2008-2026 (207 records); the 226 total quoted above includes earlier filings outside the window.
G06F (electric digital data processing) carries the largest count among the 27 subclasses returned, at 63 records, followed by A61B (diagnosis & surgery) at 56 and G06N (AI-model computing) at 30. G16H, A61F, A61N, G06K and H04L round out the largest few, each under 10 records; no subclass total is shown as a share because no matching denominator was supplied.
Shares are the percentage of 211 class assignments (one record can carry several), not of the record count.
This page is one run against one query. Ask Eureka your own question about brain computer interface signal decoding algorithm patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaUS20230289575A1, filed by Zhejiang University and published 2023-09-14, describes a decoding method built on a spiking neural network: a liquid state machine with an input layer, a middle layer and an output layer, connected by defined weights, trained on neuron spike-train input using unsupervised STDP for the inner connections and a separate readout strategy for the output weight.This is the first record returned under the database's default ordering, not the most cited, the newest, or the broadest claim in the set. What its granted claims actually require has to be read from the claim set itself; an abstract and a family count cannot establish that.


Selected as the first record the search returns under the database default order, then shown in full. It is not ranked by citations, claim breadth or commercial importance, and it is not a judgement about which filing in this space matters most.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →These figures describe what the search returned. They report counts, not claim scope, strategy or market position.
The listed filer with the most families is named on 6, compared with 3 at fifth place and 2 at tenth place among the 79 entities the search returned (filer table shows the top 30). Rows cannot be summed into a combined share because a single family can name more than one filer, and the list excludes named individuals even though their filings remain inside the 226-record total.
At the 2026-10-15 retrieval date, 84 of 225 records carried granted, in-force status. The remainder sit across pending, withdrawn, refused, lapsed or not-determinable states that are not broken out individually in this dataset, and in-force status will keep changing as records move through their lifecycle.
G06F (electric digital data processing) appears on 63 records and A61B (diagnosis & surgery) on 56, the two largest counts among 27 subclasses the search returned. No record total for IPC coverage was supplied, so these counts are not shown as shares of the 226-record set.
Among the 13 receiving offices the search returned, the United States carries the largest count at 84 records, followed by WIPO (PCT) at 49 and India at 27. These figures describe where applications were filed, not where any filer is based, and the offices shown here do not sum to the 226-record total.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to brain computer interface signal decoding algorithm patent landscape, with the prior art for and against each one.
The figures here describe what one search string returns. Narrowing or widening that string, or pulling granted claims directly, changes what you can conclude.
A family count or an abstract cannot establish what a patent covers. Pull the granted claim set for any record that matters to a design decision before drawing a freedom-to-operate conclusion.
Explore in Patsnap EurekaThe filer ranking here reflects one retrieval date. Revisiting the same search string periodically shows how individual rows move as new records publish and as pending applications grant.
Explore in Patsnap EurekaThis set was built on one combination of terms. Adding or removing terms such as classification, algorithm or signal will change which records are captured and can surface different filers or subclasses.
Explore in Patsnap EurekaThis search returned 226 published records matching the string TAC:(("brain computer interface" OR "brain machine interface") AND (decoding OR classification) AND (algorithm OR signal)), with no date limit applied. That figure counts published records, not simple patent families, so a single invention filed in multiple countries can appear more than once. The true scope of the field is almost certainly wider, since any search string captures only the records whose text matches its exact terms.
Among the 79 listed filers (organisations, with the table showing the top 30), the leading row is named on 6 families, fifth place holds 3, and tenth place holds 2. These counts cannot be summed across rows because a single family can name more than one filer, and the ranking excludes named individuals even though their filings are included in the 226-record total. A higher family count also says nothing about claim scope or enforceability; it only reflects how many families list that filer.
84 of 225 records were granted and still in force as of the 2026-10-15 retrieval date, roughly 37%. The remainder span pending, withdrawn, refused, lapsed and not-determinable statuses that are not broken out separately in this dataset. In-force status changes continuously as applications are examined, granted, abandoned or expire, so this figure is a snapshot rather than a fixed measure of quality or success.
G06F (electric digital data processing) carries the largest count among the 27 IPC subclasses returned, at 63 records, followed by A61B (diagnosis & surgery) at 56 and G06N (computing based on AI models) at 30. Smaller counts appear in G16H, A61F, A61N, G06K and H04L. No overall record total was supplied for IPC coverage, so these are raw counts rather than percentage shares, and a single record can carry more than one IPC class.
The search returned 13 receiving offices in total. The United States carries the largest count at 84 records, followed by WIPO under the PCT route at 49, India at 27, Europe (EPO) at 23, Israel at 11 and China at 9. These figures describe where applications were filed, not where any filer is headquartered or based, since no nationality or country-of-origin data was captured for any filer in this dataset.
Go past this page: query the whole brain computer interface signal decoding algorithm patent landscape corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
Search. Every figure on this page comes from one Patsnap search, run once and not edited afterwards. This is the exact search string:
TAC:(("brain computer interface" OR "brain machine interface") AND (decoding OR classification) AND (algorithm OR signal))
Reading the field codes: TAC searches the title, abstract and claims of each record, not the full description. The search string sets no date limit, so the scope is every matching record in the database regardless of when it was filed. It is not restricted to recent years. How this string was built matters for how far the counts can be pushed. It was generated in batch from a topic list rather than hand-crafted for this page, and the result set is not manually screened. A keyword search over title, abstract and claims both over-captures (unrelated filings that happen to use the same words) and under-captures (the same invention written in different words). This page cannot measure either effect, so read every figure here as what this particular string returned, not as what exists in the field.
What is being counted. Two different units appear on this page and they are not interchangeable. The filer list and the technology split are counted in simple (DOCDB) patent families: one invention counts once however many countries it was filed in. The total, the jurisdiction split and the filing-year chart are counted in published records: the same invention counts once per publication. Record counts reward filing in many jurisdictions; family counts do not. Shares are only ever taken against a denominator in the same unit, and each one names it.
Who the filers are. Names come from Patsnap's standardised assignee field, as recorded on the documents themselves. They are not rolled up to corporate group: a parent and its subsidiaries appear as separate entries, and a portfolio acquired from another company stays under the name on the document unless the assignment is reflected there. This list is meant to carry organisations, not people. Filings held by a named individual are identified by matching the assignee against the inventors on the same search, and, for names written in Chinese, Japanese or Korean characters, by the name carrying no organisational suffix; those are removed from the list (21 of them here). Neither test is exhaustive: the inventor list it matches against is itself capped, and a personal name written in Latin script with no organisational wording in it cannot be told apart from a short company name by rule. So an individually held filing can still appear in the list. Those filings stay inside every total and share on this page either way, so the listed entries can add up to less than the total. A record shown in full further down still names its assignee exactly as the patent office records it, including where that is a person: that name is how the record is identified and checked. What is left out of the ranking is people as ranked entries, not people as cited sources. The table shows the top 30 of the 79 filers returned, ordered by count alone; the data endpoint returns at most 100 entities, so even that 79 is not every filer. One patent family can name several filers and each is counted separately, so these rows are not slices of a divided whole: adding them together over-counts, and this page deliberately publishes no combined "top five" share for that reason. See every filer, individuals included
Dates. The year chart counts by earliest filing year, not publication year. A filing only becomes visible once it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. Measured across these pages, the year four back from today still holds only about 89% of its eventual count. 2022 onwards are therefore shaded on the chart as still filling in. The data behind this page was retrieved on 2026-10-15.
Legal status. "In force" counts documents whose legal status at retrieval was granted and maintained (84 of 225). Everything else is pending, withdrawn, refused, lapsed or not determinable, and those states are not broken out here because the underlying codes do not separate them cleanly. Legal status changes continuously and is reported per document, not per family. Get the status breakdown in Eureka
Classification. The technology split uses IPC subclasses (four characters, for example H01M). A single record usually carries several, so the shares add up to more than 100% and a record can appear in more than one bar. Subclass is a coarse grouping; it describes the field a record was classified into, not what the claims cover. Break the classes down to subgroup level
Who wrote the words. The tables, charts, counts, shares and patent numbers on this page are produced directly from the search result by a program; none of them are written or estimated by a language model. The surrounding prose, headings, FAQ answers and the answers in the question panel are drafted by a language model that is given those same figures and is not permitted to introduce others. Prose can still mis-describe a correct figure, so where the two disagree, the tables and charts are the record.
Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries limitations that apply to every figure above. Recent filings are under-counted, because an application is not public until roughly 18 months after filing and database loading adds further delay. The search string defines and constrains everything shown: records that use different terminology, or that sit outside the fields searched, are absent and cannot be counted. Applicant names, classification codes, legal-status codes and citation records are taken as recorded and may contain errors, duplicates, omissions or stale entries. Ordering by volume is not a measure of quality, scope, enforceability or commercial value, and a larger portfolio is not a stronger one. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, validity or infringement search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. No attorney-client relationship is created by it. Any patent, commercial, or strategic decision should be verified independently against the primary records and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
The question panel. The answers behind the suggested questions on this page were written when the page was generated, not in response to your click. The progress steps that play before an answer appears are an animation of how that analysis was done; nothing is being searched or computed at that moment. Typing your own question instead opens Patsnap Eureka, which does run it live.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.
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